An Assessment of Thermal Barrier Coatings for The Low ...
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An Assessment of Thermal Barrier Coatings for The Low-An Assessment of Thermal Barrier Coatings for The Low-
Temperature Combustion Family: From HCCI To GCI Temperature Combustion Family: From HCCI To GCI
Ziming Yan Clemson University, [email protected]
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AN ASSESSMENT OF THERMAL BARRIER COATINGS FOR THE LOW-TEMPERATURE COMBUSTION FAMILY: FROM HCCI TO GCI
A Thesis Presented to
the Graduate School of Clemson University
In Partial Fulfillment of the Requirements for the Degree
Doctor of Philosophy Automotive Engineering
by Ziming Yan August 2021
Accepted by: Dr. Benjamin Lawler, Committee Chair Dr. Zoran Filipi, Committee Co-Chair
Dr. Robert Prucka, Committee Member Dr. Qilun Zhu, Committee Member
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ABSTRACT
Thermal barrier coatings (TBCs) reduce in-cylinder heat transfer losses and increase
thermal efficiency. Beyond the efficiency improvement, many challenges associated with
low-temperature combustion (LTC) could be potentially improved with TBC. Therefore,
the investigation of the effects of TBC in LTC serves as the motivation of this thesis. The
thesis includes both experimental and computational investigations, which are mainly
divided four-fold.
First, this dissertation experimentally demonstrated the feasibility and
comprehensively investigated the effects of thick thermal barrier coatings on pure
Homogeneous Charge Compression Ignition (HCCI) combustion (i.e., low residual and
high compression ratio) with two different fuels (conventional gasoline and wet ethanol
80). A deterioration of the high load limit was not observed, which implies that the charge
heating penalty does not occur in pure-HCCI. Both combustion and thermal efficiency
increased for the thicker TBC with a reduced intake temperature requirement. It is also
observed that a dense top sealing layer results in a significant improvement to unburned
hydrocarbon (UHC) emissions.
Then, a parametric computational investigation into the effects of various coating
properties on pure-HCCI combustion was performed. A zero-dimensional (0D)
thermodynamic model of the engine cycle was established and coupled to a 1D transient
heat transfer model of the coating and piston. Three parameters were thoroughly
investigated independently: thermal conductivity (k), coating thickness, and volumetric
heat capacity (s). The results revealed that the volumetric efficiency actually increases with
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a thicker coating due to a reduction in heat transfer during the compression stroke, which
lowers the required intake temperature to reach autoignition. The results also indicate that
the optimal coating configuration for pure-HCCIis a combination of the lowest k, the
lowest s, and the thickest coating before reaching the charge heating limit.
Since LTC contains a big family tree, ranging from HCCI to stratified LTC such as
Gasoline Compression Ignition (GCI), it was desired to explore the effects of TBCs in GCI
combustion, firstly by understanding GCI combustion through the Partial Fuel
Stratification (PFS) combustion strategy. PFS was successfully enabled at a 1.6 bar boost
level. The peak pressure rise rate (PPRR) was successfully reduced by up to 30% with the
latest injection event and the lowest split fraction. However, a new double late injection
strategy was also proposed that enables another 27% reduction in PPRR, which indicates
that the φ distribution has been broadened dramatically, thereby unlocking further potential
for higher loads.
Last, this dissertation established a preliminary guideline for TBCs with GCI via
thermodynamic modeling. The coating performance was evaluated with two candidates.
The results show that increasing coating thickness increases the thermal efficiency of GCI
combustion with a trend of diminishing returns. Charge heating was much less than
expected due to the high level of intake boost. A study of the intake and exhaust valves
revealed an exhaust valve peak surface temperature of ~1000K, which could be a concern
for coating temperature durability. It was shown that coating the piston and firedeck was
very rewarding in terms of efficiency improvement with low charge heating. However, it
is not worth coating the liner clearance due to a minimal efficiency gain.
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ACKNOWLEDGMENTS
My deepest gratitude goes to Dr. Benjamin Lawler, as a mentor not only in academia but
also in my life. Thanks for patiently guiding me and sharing the excitement of five years
of discovery. Being an international student and thousands of miles away from home, you
are the person who always cheers me up and makes me feel at home. Your unwavering
passion and personal kindness helped me finding confidence, being professional, and made
my life delightful in the past few years.
I would also like to acknowledge Dr. Zoran Filipi as my co-advisor, who kept my
focus on the right track. Your top-notch spirit runs in the family, and I will carry it with me
in my future career. I would like to express my thanks to Dr. Robert Prucka and Dr. Qilun
Zhu as my committee member for your brilliant guidance and feedback. I would like to
thank Dr. Sanjay Sampath from Stony Brook University for his experimental support
associated with the thermal barrier coating.
I would like to express my appreciation to my colleagues and friends, especially to
Dr. Brian Gainey and Dr. Deivanayagam Hariharan, for the days of turning the wrench and
running the engine together. All my work would be impossible without your help.
My special thanks to my parents for raising, believing in, and supporting me
through all my life. To my wife, Minni, for being my strongest supporter and helper. To
Tao for bringing me so much happiness and laughter. To my best friends from Stony Brook
University, Guangyu and Fan, for encouragement and being there for me.
TABLE OF CONTENTS
Page
ABSTRACT ........................................................................................................................ ii
ACKNOWLEDGMENTS ................................................................................................. iv
TABLE OF CONTENTS .....................................................................................................v
LIST OF TABLES ............................................................................................................. ix
LIST OF FIGURES .............................................................................................................x
LIST OF ABBREVIATIONS .......................................................................................... xvi
CHAPTER 1. INTRODUCTION ........................................................................................1
1.1 The development of TBCs in internal combustion engines (ICEs) ............................................. 1
1.2 Low-temperature combustion (LTC) family .............................................................................. 4
1.2.1 Homogeneous Charge Compression Ignition (HCCI) ............................................................................ 5
1.2.2 Stratified Gasoline Compression Ignition (GCI) .................................................................................... 6
1.2.3 Challenges with Low-Temperature Combustion ................................................................................ 11
1.3 Objective of the Current Approach and Specific Tasks............................................................ 16
1.3.1 Demonstration and justification – Comprehensive experimental investigation of thick thermal
barrier coatings for HCCI (CHAPTER 2 & CHAPTER 3) ...................................................................................... 17
1.3.2 Deep dive into the fundamentals – A parametric computational investigation into the effects of
various coating properties for HCCI (CHAPTER 4 & CHAPTER 5) ..................................................................... 17
1.3.3 Clemson GCI test cell commissioning (CHAPTER 6)............................................................................ 17
1.3.4 Establishing the understanding of GCI - an experimental investigation of injection strategies for
gasoline PFS (CHAPTER 7) ............................................................................................................................... 18
1.3.5 A preliminary guideline for TBCs with GCI – A computational evaluation (CHAPTER 8) .................... 18
CHAPTER 2. EXPERIMENTAL SETUP AND METHODOLOGY ...............................19
2.1 Experimental engine test cell .................................................................................................. 19
2.1.1 Specific experimental setup for TBC-HCCI study ................................................................................ 21
2.1.2 Fuel delivery method for the gasoline PFS study ............................................................................... 26
v
vi
Table of Contents (Continued) Page
2.2 Data Acquisition and Analysis Methodology .......................................................................... 27
2.3 Application of the TBCs and Measurements of Their Thermophysical Properties .................. 29
CHAPTER 3. THICK THERMAL BARRIER COATINGS FOR HCCI -
EXPERIMENTAL RESULTS AND DISCUSSION ........................................................33
3.1 Objective and Experimental operating conditions for thermal barrier coating study ............ 33
3.2 Performance of TBC at different loads with conventional gasoline HCCI ............................... 35
3.2.1 Intake temperature requirement - Gasoline ...................................................................................... 36
3.2.2 The Heat Release Process and Load Range – Gasoline ...................................................................... 38
3.2.3 Efficiency and Energy Distribution – Gasoline ................................................................................... 42
3.2.4 Emissions – Gasoline .......................................................................................................................... 48
3.3 Performance of TBC at different loads with WE80 and compared with gasoline ................... 49
3.3.1 Load range, efficiencies, and energy distribution – WE80 & gasoline ............................................... 50
3.3.2 Intake temperature requirement – WE80 & gasoline ........................................................................ 55
3.4 Performance of TBC with WE80 with varied SOI timings ........................................................ 58
3.4.1 The effect of injection timing and TBC on heat release process ........................................................ 58
3.4.2 The effect of injection timing and TBC on efficiencies and emissions ............................................... 60
3.4.3 The intake and exhaust temperatures ............................................................................................... 67
CHAPTER 4. MODELING SETUP AND VALIDATION ..............................................70
4.1 0-D thermodynamic engine cycle modeling ............................................................................ 70
4.1.1 Conservation of mass & flow characterization .................................................................................. 70
4.1.2 Energy balance ................................................................................................................................... 71
4.1.3 Thermodynamic properties of the working fluid ............................................................................... 72
4.2 1D transient heat transfer modeling ...................................................................................... 75
4.3 Model validation ..................................................................................................................... 79
4.3.1 Validation against the experimental metal baseline cases ................................................................ 80
4.3.2 Validation against the experimental TBC cases ................................................................................. 82
vii
Table of Contents (Continued) Page
CHAPTER 5. THICK THERMAL BARRIER COATINGS FOR HCCI - MODELING
RESULTS AND DISCUSSIONS ......................................................................................86
5.1 Objective and simulation cases setup ..................................................................................... 86
5.2 The effects of thermal conductivity - 𝒌 ................................................................................... 88
5.3 The effect of TBC thickness at low-𝒌 ....................................................................................... 96
5.4 The effect of volumetric heat capacity - 𝒔, with the thick, low-𝒌 TBC .................................. 102
CHAPTER 6. GASOLINE COMPRESSION IGNITION TEST CELL
COMMISSIONING .........................................................................................................110
6.1 Single-cylinder light-duty GCI engine commissioning ........................................................... 110
CHAPTER 7. INVESTIGATION INTO THE INJECTION STRATEGIES FOR
GASOLINE PFS – EXPERIMENTAL RESULTS & DISCUSSION ............................116
7.1 Objective and Experimental operating conditions for GCI investigation .............................. 116
7.2 The effects of SOI timing on PFS combustion characteristics, efficiencies, and emissions ... 117
7.3 The effects of Split Fraction (SF) on PFS combustion characteristics, efficiencies, and
emissions ........................................................................................................................................... 124
7.4 The combined effects of SOI timings and split fraction ........................................................ 129
7.5 The Double Late Injection (DLI) strategy with comparisons to the Single Late Injection (SLI)
strategy ............................................................................................................................................. 132
CHAPTER 8. THERMAL BARRIER COATINGS FOR GCI - MODELING RESULTS
AND DISCUSSIONS ......................................................................................................140
8.1 Model upgrade and validation ............................................................................................. 141
8.2 Effects of coating thickness on gasoline compression ignition combustion ......................... 147
8.3 Effect of boost on the performance of “traditional” and “temperature swing” coatings .... 152
8.4 Valve heat transfer estimation and coating coverage investigation .................................... 157
CHAPTER 9. CONCLUSIONS AND UNIQUE CONTRIBUTIONS ...........................167
viii
Table of Contents (Continued) Page
9.1 Summary and conclusions .................................................................................................... 167
9.1.1 Demonstration and justification – Comprehensive experimental investigation of thick thermal
barrier coatings for pure-HCCI ...................................................................................................................... 168
9.1.2 Deep dive into the fundamentals – A parametric computational investigation into the effects of
various coating properties for pure-HCCI...................................................................................................... 170
9.1.3 Establishing the understanding of GCI - an experimental investigation of injection strategies for
gasoline PFS .................................................................................................................................................. 171
9.1.4 A preliminary guideline for TBCs with GCI - A computational evaluation ........................................ 174
9.2 Unique contributions ............................................................................................................ 176
9.3 Suggestion for future work ................................................................................................... 177
PUBLICATIONS .............................................................................................................179
Thesis publications ............................................................................................................................ 179
Other publications ............................................................................................................................. 179
REFERENCES ................................................................................................................181
APPENDICES A .............................................................................................................195
APPENDICES B ..............................................................................................................200
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LIST OF TABLES
Table Page
TABLE 1: ENGINE SPECIFICATIONS ......................................................................................................................... 20
TABLE 2: FUEL PROPERTIES .................................................................................................................................. 26
TABLE 3:COATING LAYER PROPERTIES .................................................................................................................... 31
TABLE 4: COMBINE LAYER PROPERTIES ................................................................................................................... 31
TABLE 5: APS CONFIGURATIONS .......................................................................................................................... 31
TABLE 6:ENGINE OPERATING CONDITIONS FOR THE TBC STUDIES ................................................................................ 35
TABLE 7: EVALUATION OF CRITICAL VALIDATION METRICS FOR THE METAL BASELINE CASES ............................................... 82
TABLE 8: EVALUATION OF THE CRITICAL VALIDATION METRICS FOR THE TBC CASES ......................................................... 84
TABLE 9: INVESTIGATED CASES AND SWEEP CONFIGURATIONS .................................................................................... 87
TABLE 10: OPERATING CONDITIONS ...................................................................................................................... 88
TABLE 11: ENGINE PERFORMANCE AT LOAD OF 4.5 BAR IMEPG ............................................................................... 107
TABLE 12: ENGINE PARAMETERS ........................................................................................................................ 112
TABLE 13: ENGINE OPERATING CONDITIONS IN PFS STUDY ...................................................................................... 117
TABLE 14: ENGINE SPECIFICATIONS FOR ARAMCO LIGHT-DUTY GCI ENGINE ................................................................ 145
TABLE 15:PPCI-DIFFUSION COMBUSTION OPERATING CONDITIONS ........................................................................... 146
TABLE 16: REAL-WORLD MATERIAL PROPERTIES FOR ENGINE COATING APPLICATION ..................................................... 148
x
LIST OF FIGURES
Page
FIGURE 1:EQUIVALENCE RATIO & TEMPERATURE MAP FOR SOOT AND NOX FORMATION [11] . .......................................... 5
FIGURE 2: GASOLINE COMPRESSION IGNITION WITH DIFFERENT INJECTION STRATEGY AND STRATIFICATION LEVEL [25] ............ 9
FIGURE 3: SIMULATED TEMPERATURE DISTRIBUTION AT TDC [57] .............................................................................. 13
FIGURE 4: ENGINE TEST CELL LAYOUT .................................................................................................................... 19
FIGURE 5: GEOMETRY OF THE COMBUSTION CHAMBER AT TDC .................................................................................. 20
FIGURE 6: TBC MACHINE & SPRAY PROCESS ........................................................................................................... 23
FIGURE 7: TBC CONDITIONS AFTER 20 HOURS OF TESTING ........................................................................................ 24
FIGURE 8: OPTICAL MICROGRAPH FOR UNSEALED TBC LAYERS ................................................................................... 32
FIGURE 9: OPTICAL MICROGRAPH FOR SEALED TBCS LAYERS ...................................................................................... 32
FIGURE 10: PEAK MOTORING PRESSURE VS. INTAKE TEMPERATURE AT NATURALLY ASPIRATED INTAKE ................................ 34
FIGURE 11: INTAKE AND EXHAUST TEMPERATURE VS. IMEPG AT 1200RPM WITH A CONSTANT CA50 FOR EACH PISTON, I.E.,
PHASE-MATCH .................................................................................................................................................. 38
FIGURE 12: GROSS HEAT RELEASE RATE (LEFT) & CYLINDER PRESSURE (RIGHT) VS. CRANK ANGLE ...................................... 39
FIGURE 13: (A) PPRR, (B) CA50 COMBUSTION PHASING, AND (C) 10-90% BURN DURATION VS. IMEPG AT 1200RPM WITH A
CONSTANT CA50 FOR EACH PISTON, I.E., PHASE-MATCH ........................................................................................... 41
FIGURE 14: (A) COMBUSTION EFFICIENCY, (B) GROSS INDICATED THERMAL EFFICIENCY, AND (C) GROSS INDICATED FUEL
CONVERSION EFFICIENCY VS. IMEPG AT 1200RPM WITH A CONSTANT CA50 FOR EACH PISTON, I.E., PHASE-MATCH ............. 45
FIGURE 15: ENERGY DISTRIBUTION CHART FOR GASOLINE WITH THE FIVE DIFFERENT PISTONS AT LOAD OF 4.6 BAR IMEPG.
METALH IS THE METAL PISTON WITH THE HIGHER COMPRESSION RATIO AND METALL IS THE METAL PISTON WITH THE LOWER
COMPRESSION RATIO. ......................................................................................................................................... 48
FIGURE 16: (A) UHC, (B) CO, AND (C) NOX EMISSIONS VS. IMEPG, AT 1200RPM WITH A CONSTANT CA50 FOR EACH PISTON,
I.E., PHASE-MATCH ............................................................................................................................................ 49
xi
Table of Figures (Continued) Page
FIGURE 17: (A) COMBUSTION EFFICIENCY, (B) GROSS INDICATED THERMAL EFFICIENCY, AND (C) GROSS INDICATED FUEL
CONVERSION EFFICIENCY VS. IMEPG FOR GASOLINE (SOLID LINES) AND WET ETHANOL (DASHED LINES) AT 1200RPM WITH A
CONSTANT CA50 FOR EACH PISTON, I.E., PHASE-MATCH ........................................................................................... 51
FIGURE 18: (A) UHC, (B) CO, AND (C) NOX EMISSIONS VS. IMEPG FOR GASOLINE (SOLID LINES) AND WET ETHANOL (DASHED
LINES) AT 1200RPM WITH A CONSTANT CA50 FOR EACH PISTON, I.E., PHASE-MATCH ..................................................... 53
FIGURE 19:ENERGY DISTRIBUTION CHART FOR WE80 AND GASOLINE .......................................................................... 55
FIGURE 20: INTAKE TEMPERATURE VS. IMEPG AT 1200RPM WITH A CONSTANT CA50 FOR EACH PISTON, I.E., PHASE-MATCH 56
FIGURE 21: COOLING POTENTIAL OF DIFFERENT FUELS .............................................................................................. 57
FIGURE 22: INTAKE AND EXHAUST TEMPERATURE VS. IMEPG (WET ETHANOL 80) AT 1200RPM WITH A CONSTANT CA50 FOR
EACH PISTON, I.E., PHASE-MATCH ......................................................................................................................... 57
FIGURE 23: GROSS HEAT RELEASE RATES (BOTTOM) AND PRESSURE TRACES (TOP) VS. CRANK ANGLE DEGREE AT SOI OF -350
DEG ATDC ....................................................................................................................................................... 58
FIGURE 24: (A) PPRR, (B) COMBUSTION PHASING, (C) BURN DURATION VS. SOI TIMING WITH DIFFERENT COATED PISTONS AND
THE METAL BASELINE CASES, CA50 = 6.8 DEG ATDC ............................................................................................... 60
FIGURE 25: EFFICIENCIES VS. SOI TIMING FOR THE DIFFERENT COATED AND METAL BASELINE PISTONS, CA50 = 6.8 DEG ATDC
...................................................................................................................................................................... 62
FIGURE 26: FUEL SPRAY VISUALIZATIONS AT INJECTION TIMINGS OF -330, -300, -270, -240, AND -210 DEGREES ATDC ..... 63
FIGURE 27: VISUALIZATION OF TWO INCLUDED ANGLES (150° AND 60°) AT SOI TIMING OF -330 DEG ATDC ..................... 64
FIGURE 28: COMBUSTION EFFICIENCY WITH TWO INJECTION ANGLES (150° AND 60°) .................................................... 65
FIGURE 29: EMISSIONS AND PEAK CYLINDER TEMPERATURE VS. SOI TIMING FOR THE DIFFERENT COATED AND METAL BASELINE
PISTONS, CA50 = 6.8 DEG ATDC ......................................................................................................................... 66
FIGURE 30: THE INTAKE TEMPERATURE REQUIREMENTS AND THE MEASURED EXHAUST TEMPERATURES VS. SOI TIMING FOR THE
DIFFERENT COATED AND METAL BASELINE PISTONS, CA50 = 6.8 DEG ATDC ................................................................. 67
FIGURE 31: INTAKE TEMPERATURE WITH TWO INJECTION ANGLES (150° AND 60°) ........................................................ 68
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Table of Figures (Continued) Page
FIGURE 32: ONE-DIMENSIONAL TRANSIENT FINITE ELEMENT HEAT TRANSFER SCHEMATIC ................................................ 76
FIGURE 33: DETERMINATION OF OIL COOLING CONVECTIVE HEAT TRANSFER COEFFICIENT FOR THE BACKSIDE BOUNDARY
CONDITION ....................................................................................................................................................... 78
FIGURE 34: CYLINDER PRESSURE TRACE OF METAL CASE VALIDATION AT LOADS OF 2.7 AND 4.6 BAR IMEPG ....................... 81
FIGURE 35: CYLINDER PRESSURE TRACE FOR THE 2MM TBC CASES AT LOADS OF 2.6 BAR AND 4.6 BAR IMEPG PROVIDING
VALIDATION OF THE MODEL’S ABILITY TO CAPTURE THE THERMODYNAMICS AS WELL AS THE PERFORMANCE OF THE TBC ........ 85
FIGURE 36: COATING NODE TEMPERATURES FOR THE FIRST 20 NODES WITH A ΔX SPACING OF 25 MICRONS BETWEEN NODES
(LEFT) AND BULK GAS TEMPERATURES (RIGHT) OVER THE ENGINE CYCLE FOR THE 4.6 BAR IMEPG LOAD CASE ...................... 85
FIGURE 37: (A) COATING SURFACE TEMPERATURE AND (B) BULK GAS TEMPERATURE VS. CRANK ANGLE AT A LOAD OF 3.5 BAR
IMEPG OVER THE 𝑘 SWEEP .................................................................................................................................. 90
FIGURE 38: TEMPERATURE SWING VS. THERMAL CONDUCTIVITY, 𝑘 ............................................................................. 92
FIGURE 39: (A) HEAT TRANSFER LOSSES AND (B) GROSS INDICATED THERMAL EFFICIENCY VS. THERMAL CONDUCTIVITY, 𝑘 ...... 93
FIGURE 40: INTAKE TEMPERATURE VS. THERMAL CONDUCTIVITY, 𝑘 ............................................................................. 94
FIGURE 41: TEMPERATURE AT EVO VS. THERMAL CONDUCTIVITY, 𝑘 ........................................................................... 95
FIGURE 42: (A) COATING SURFACE TEMPERATURE AND (B) BULK GAS TEMPERATURE VS. CRANK ANGLE AT THE LOAD OF 3.5 BAR
IMEPG THROUGH THICKNESS SWEEP ..................................................................................................................... 99
FIGURE 43: INTAKE TEMPERATURE AND 𝜙 VS. COATING THICKNESS ........................................................................... 100
FIGURE 44: HEAT TRANSFER LOSSES (RED, LEFT AXIS) & THERMAL EFFICIENCY (BLUE, RIGHT AXIS) VS. COATING THICKNESS AT THE
LOAD OF 3.5 BAR IMEP ................................................................................................................................... 102
FIGURE 45: (A) COATING SURFACE TEMPERATURE AND (B) BULK GAS TEMPERATURE VS. CRANK ANGLE AT THE LOAD CONDITION
OF 3.5 BAR IMEPG OVER THE VOLUMETRIC HEAT CAPACITY SWEEP ........................................................................... 105
FIGURE 46: OPTIMIZATION ROUTINE AND ENGINE PERFORMANCE ............................................................................. 109
FIGURE 47: GROSS INDICATED THERMAL EFFICIENCY VS. MAXIMUM SURFACE TEMPERATURE .......................................... 109
FIGURE 48: CLEMSON UNIVERSITY SINGLE-CYLINDER LIGHT-DUTY GCI TEST CELL OVERVIEW .......................................... 111
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Table of Figures (Continued) Page
FIGURE 49: TOP: LAYOUT OF HIGH-PRESSURE DIRECT INJECTION FUEL SYSTEM; LEFT: LOW-PRESSURE LOOP CART; BOTTOM
RIGHT: HEAT EXCHANGERS FOR FUEL RETURN COOLING. .......................................................................................... 113
FIGURE 50: ECM AFR AND EGR MODULES IN SERIES BUS CONNECTION .................................................................... 115
FIGURE 51: INJECTION STRATEGY FOR SINGLE LATE INJECTION (SLI) WITH SF70........................................................... 118
FIGURE 52: GHRR FOR AN SOI SWEEP AT A SPLIT FRACTION OF 70% (SF70, I.E., 70% OF THE FUEL MASS WAS PORT FUEL
INJECTED AND 30% WAS DIRECT INJECTED AT THE TIMING INDICATED IN THE LEGEND) ................................................... 119
FIGURE 53: COMBUSTION CHARACTERISTICS AND EFFICIENCIES VS. INJECTION TIMING AT SF70 ...................................... 122
FIGURE 54: EMISSIONS VS. INJECTION TIMING AT A SPLIT FRACTION OF 70 .................................................................. 124
FIGURE 55: GHRR & PRESSURE TRACE FOR DIFFERENT SPLIT FRACTIONS AT AN SOI TIMING OF -50 DEG ATDC ................. 126
FIGURE 56: COMBUSTION CHARACTERISTICS AND EFFICIENCIES VS. SPLIT FRACTION AT AN SOI = -50 DEG ATDC ............... 127
FIGURE 57: EMISSIONS VS. SPLIT FRACTION AT AN SOI = -50 DEG ATDC ................................................................... 128
FIGURE 58: (LEFT) COMBUSTION CHARACTERISTICS AND EFFICIENCIES; (RIGHT) EMISSIONS VS. START OF INJECTION TIMING AT
DIFFERENT SPLIT FRACTIONS ............................................................................................................................... 130
FIGURE 59: SPRAY AT -140, -110, -80, AND -50 DEG ATDC .................................................................................. 130
FIGURE 60: INJECTION STRATEGY FOR DOUBLE LATE INJECTION (DLI) WITH SF70 ........................................................ 132
FIGURE 61: GHRR FOR HCCI, SF70 WITH A SINGLE COMPRESSION STROKE INJECTION, AND SF70 WITH A DOUBLE LATE
INJECTION (DLI) AT VARIOUS SPLIT INJECTION SPACINGS .......................................................................................... 134
FIGURE 62: COMBUSTION CHARACTERISTICS AND EFFICIENCIES VS. INJECTION SPACING AT DIFFERENT EQUIVALENT INJECTION
TIMINGS AT A SPLIT FRACTION OF 70 ................................................................................................................... 136
FIGURE 63: EMISSIONS VS. INJECTION SPACING AT DIFFERENT EQUIVALENT INJECTION TIMINGS AT A SPLIT FRACTION OF 70 . 138
FIGURE 64: PPCI-DIFFUSION COMBUSTION STRATEGY FROM YU ET AL. [111]. ............................................................ 141
FIGURE 65: HEAT FLUX TO DIFFERENT COMBUSTION CHAMBER COMPONENTS. ............................................................ 143
FIGURE 66: PISTON HEAT FLUX ESTIMATION FROM THREE DIFFERENT METHODS. BLUE: HOHENBERG CORRELATION; RED: CFD
RESULTS; DASHED BLACK LINE: HYBRID HEAT FLUX (0D DT + ℎ𝐶𝐹𝐷) ........................................................................ 145
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Table of Figures (Continued) Page
FIGURE 67: CYLINDER PRESSURE AND BULK GAS TEMPERATURE COMPARISON BETWEEN CFD AND 0D MODELS ................. 146
FIGURE 68: SURFACE TEMPERATURES THAT RESULT FROM DIFFERENT THICKNESSES FOR TWO DIFFERENT CANDIDATE MATERIALS
AT 2500RPM, 23.5 BAR IMEP. ......................................................................................................................... 149
FIGURE 69: GROSS INDICATED THERMAL EFFICIENCY V.S. THICKNESS (LEFT) AND PEAK SURFACE TEMPERATURE (RIGHT) WITH
TWO CANDIDATE MATERIALS. ............................................................................................................................. 150
FIGURE 70: BULK GAS, COATING, AND METAL PISTON SURFACE TEMPERATURE AT 23.5 BAR IMEPG ................................ 151
FIGURE 71: BULK GAS AND PISTON SURFACE TEMPERATURE AT 15 BAR IMEPG AND 1.6 BAR INTAKE PRESSURE. ................ 153
FIGURE 72: IVC TEMPERATURE AND EQUIVALENCE RATIO AT DIFFERENT BOOST LEVELS ................................................. 154
FIGURE 73: GROSS INDICATED THERMAL EFFICIENCY AT DIFFERENT BOOST LEVELS ........................................................ 155
FIGURE 74: BOOST PRESSURE V.S. EQUIVALENCE RATIO. ......................................................................................... 156
FIGURE 75: ENGINE VALVES HEAT TRANSFER BREAKDOWN (LEFT) AND SCHEMATIC OF 1D MODELING (RIGHT) ................... 158
FIGURE 76: HEAT FLUXES FROM DIFFERENT BOUNDARY CONDITIONS AT 2500RPM, 23.5 BAR IMEP. ............................. 159
FIGURE 77: COATED AND BASELINE SURFACE TEMPERATURE OF PISTON AND VALVES AT 2500RPM, 23.5 BAR IMEP. ......... 160
FIGURE 78: POSSIBLE TBC COVERAGE IN THE COMBUSTION CHAMBER ....................................................................... 161
FIGURE 79: LEFT: GROSS INDICATED THERMAL EFFICIENCY FOR DIFFERENT COVERAGE @ 2500RPM, 23.5 BAR IMEPG RIGHT:
EFFICIENCY GAIN RATIO DISTRIBUTION ................................................................................................................. 162
FIGURE 80: RELATIVE TEMPERATURE SWING FOR PISTON, HEAD, AND VALVES WITH 200 MICRONS GDZR @ 2500 RPM, 23.5
BAR IMEPG .................................................................................................................................................... 163
FIGURE 81: THE EFFECT OF SUBSTRATE ON COATING PERFORMANCE .......................................................................... 164
FIGURE 82: EFFICIENCY GAIN DISTRIBUTION AT DIFFERENT LOADS. LEFT: 23.5 BAR IMEPG. RIGHT: 6 BAR IMEPG .............. 165
FIGURE 83: GROSS INDICATED THERMAL EFFICIENCY V.S. RELATIVE CHARGE HEATING .................................................... 166
FIGURE 84: FUEL CONVERSION EFFICIENCY VS. IMEPG FOR GASOLINE (SOLID LINES) AND WET ETHANOL (DASHED LINES) ..... 195
FIGURE 85: GROSS HEAT RELEASE RATE (BOTTOM) & PRESSURE TRACE (TOP) VS. CRANK ANGLE DEGREE AT DIFFERENT SOI
TIMINGS ........................................................................................................................................................ 196
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Table of Figures (Continued) Page
FIGURE 86: (A) VOLUMETRIC EFFICIENCY AND (B) EQUIVALENCE RATIO VS. COATING THICKNESS ..................................... 197
FIGURE 87: SWEEP THE PROPERTIES IN ORDER OF K, S, AND THICKNESS ..................................................................... 198
FIGURE 88: GHRR & CYLINDER PRESSURE FOR SOI SWEEP AT A SPLIT FRACTION OF 70 ................................................ 198
FIGURE 89: ESTIMATED CYLINDER BULK TEMPERATURE ........................................................................................... 199
FIGURE 90: NEAR-WALL AND BULK GAS TEMPERATURES ......................................................................................... 199
FIGURE 91: DETAILED DRAWING FOR KISTLER 6125C CYLINDER PRESSURE TRANSDUCER MOUNTING ADAPTER. ................. 200
xvi
LIST OF ABBREVIATIONS
aTDC after top dead center APS atmospheric plasma spray CAD crank angle degree CA50 crank angle of 50% mass fraction burned CCD combustion chamber deposit CDC conventional diesel combustion CO carbon monoxide COV coefficient of variation CR compression ratio CTE coefficient of thermal expansion EGR external-cooled exhaust gas recirculation GCI gasoline compression ignition GHRR gross heat release rate HCCI homogeneous charge compression ignition HOF latent heat of vaporization IMEPn net indicated effective mean pressure IVO intake valve open LTC low-temperature combustion LTHR low temperature heat release MFB mass fraction burned NHRR net heat release rate NOx nitrogen oxides OEM original equipment manufacturer PFS Partial fuel stratification PPRR peak pressure rise rate RCCI reactivity-controlled compression ignition SOI start of injection SI spark ignition TBCs thermal barrier coatings TSCI thermally stratified compression ignition UHC unburned hydrocarbon YSZ yttria-stabilized zirconia
1
CHAPTER 1. INTRODUCTION
1.1 The development of TBCs in internal combustion engines (ICEs)
Since the transportation sector consumes approximately one-third of the total energy used
by the U.S. and contributes a similar fraction of CO2 emissions, there is a strong motivation
for energy-efficient transportation solutions for automotive vehicles. Accordingly, the
CAFE standards for fuel economy have become more aggressive in recent years. Spark
ignition (SI) engines have cleaner tailpipe emissions due to homogeneous and
stoichiometric operation and use of a three-way catalytic converter, but SI engines are
limited due to their lower thermal efficiency. The newest regulations on greenhouse gases,
especially CO2 emissions, require a significant efficiency improvement over traditional
spark ignition (SI) engines. Meanwhile, the next EPA tailpipe emissions regulations have
nearly suspended the development of diesel engines for the light-duty market in the U.S.
due to the NOx and soot emissions, despite their higher efficiency compared to traditional
SI engines. All of these demands and regulations motivate a revolutionary advancement in
the traditional automotive powertrain. There are several promising technologies and
approaches to meet these new requirements; for example, the hybrid electric powertrain is
an attractive option for the light-duty market. However, improvements made to the engine
efficiency can benefit both conventional vehicles and hybrid electrics and there is still a
considerable amount of room for improvements to the efficiency of combustion engines
from a thermodynamic standpoint. Heat transfer losses, which account for ~30% of the
energy released by fuel [1], are one of the largest energy losses that lower engine efficiency.
Therefore, reducing heat transfer losses can directly increase thermal efficiency.
2
Furthermore, minimizing heat transfer losses can reduce the coolant load and coolant
capacity required for heat dissipation, which eventually could be used to improve the
vehicle's weight and aerodynamics, thereby indirectly benefitting fuel economy. Since heat
transfer losses are caused by the temperature difference between the hot gas and relatively
cold walls, one approach to prevent heat loss is to coat the walls with thermal insulation,
also known as Thermal Barrier Coatings (TBCs).
The concept of the "adiabatic engine" was first proposed in the early 1970s and
followed by simulation studies to predict the performance by Kamo et al. [2] and Sudhakar
[3]. Both studies predicted the significant potential to decrease fuel consumption and
hydrocarbon emissions. Further experimental investigations were fulfilled by the
Cummins/TACOM adiabatic engine program during the 1980s [4]. By the end of the
program, although the feasibility of utilizing TBCs on a turbocompound diesel engine was
demonstrated, there were several unforeseen problems. For example, one of the issues
discovered was that a large amount of heat transfer losses that were saved by the TBC were
converted into higher exhaust losses instead of into useful work. However, a more
significant concern was that the thick TBCs increased the wall temperatures throughout the
entire engine cycle, which led to a large amount of charge heating during the intake stroke.
This charge heating reduced the density of incoming charge and reduced the peak power
density of the engine [5]. Furthermore, there was also a significant challenge with SI
engines, where the hot walls with thick TBCs led to an increased propensity for end-gas
knock [6]. To resolve these issues, the community proposed a new direction in TBCs
research.
3
Contrary to the thick TBC approach which results in high temperatures throughout
the entire engine cycle, a new approach has been proposed that uses thin coatings to
produce a "temperature swing", where the temperature of the surface fluctuates over the
engine cycle, which enable the coating temperature to rapidly respond to changes in the
gas temperature [7][8]. During the intake stroke, the incoming charge sufficiently cools the
coating surface, where the surface temperature is targeted to be very close to that of an
uncoated metal wall. Then, during the compression and expansion stroke, the surface
temperature of temperature swing TBCs is designed to increase and follow the gas
temperature to reduce heat transfer losses. This temperature-following feature eliminates
the intake charge heating issue of thick TBCs to a large extent, which eliminates the
negative impacts on volumetric efficiency while improving thermal efficiency [9]. A 3D-
CFD study showed that with a proper combination of the thickness, thermal conductivity,
and heat capacity, the TBC surface could achieve even lower temperatures than uncoated
metal pistons, which theoretically would increase the volumetric efficiency and improve
engine knock [7]. Later, the same group proved the effectiveness of TBCs at reducing heat
transfer losses and increasing work extraction and exhaust energy on a diesel engine
architecture. Meanwhile, a surface temperature swing of 140 °C was measured by laser-
induced phosphorescence imaging using temperature swing materials for TBCs [9]. A 0D
thermodynamic cycle simulation study was conducted by Andruskiewicz et al. showing
both volumetric and brake efficiency improvements with temperature swing coatings in an
SI engine architecture [8]. However, a following experimental investigation by the same
group showed a performance deteriorated due to poor durability with that type of
4
temperature swing coating (i.e., relying heavily on porosity to provide the favorable TBC
properties for large temperature swings) [10]. This work revealed the significance of
surface sealing, finishing, and roughness. Overall, many of the previous research efforts on
conventional combustion modes have discovered that the state-of-the-art materials or
approaches for temperature swing coatings still require further improvements to the
thermophysical properties, such as significantly lower thermal conductivity, lower heat
capacity, and enhanced durability.
All of these trials were focused on reducing heat transfer losses and were based on
conventional combustion modes; however, the community has also made significant
progress researching and developing advanced combustion modes called low-temperature
combustion (LTC). LTC exhibits the merits of both SI and conventional diesel combustion,
namely, high thermal efficiency compared to SI and ultralow emissions compared to
conventional diesel combustion [11][12][13]. A thorough introduction to LTC is presented
below.
1.2 Low-temperature combustion (LTC) family
The concept of Low-Temperature Combustion (LTC) has been studied by engine research
community for more than a decade [11][12]. LTC is intended to create a premixed (or
partially premixed) lean mixture and operate in the regions that bypass the NOx and soot
islands as shown in Figure 1. This lean mixture also benefits the thermal efficiencies due
to the higher ratio of specific heats. The combustion process is comparatively clean with
near-zero particulate and NOx emissions, therefore only requiring an oxidation catalyst for
aftertreatment, while still achieving high thermal efficiencies similar to conventional diesel
5
combustion due to the high compression ratio, and high ratio of specific heats (γ = cp/cv)
associated with low temperatures and lean operation [1].
Figure 1:Equivalence ratio & temperature map for soot and NOx formation [11] .
1.2.1 Homogeneous Charge Compression Ignition (HCCI)
Several advanced LTC modes have been proposed; for example, the early attempts of
HCCI revealed its high efficiency and ultra-low emissions characteristics [14][15].
However, the lack of control over the start and the rate of combustion limit HCCI's
commercial potential [16]. This narrow operating range and rapid heat release are related.
Studies have been conducted to try to understand the fundamental behind the scenes. Some
early attempts were to delay the combustion even that shifts the combustion to later
expansion stroke [17]. This approach is effective, but the trade-off is also significant. The
retarded combustion phasing reduces the thermal efficiency from a thermodynamic
standpoint. Also, the amount of phasing retard is limited by high cycle-to-cycle variability
and eventually misfire [18]. However, early combustion phasing causes engine knock and
6
high heat transfer losses which is also detrimental to thermal efficiency. Therefore, the
optimal combustion phasing is determined by competing effects between heat transfer
losses and effective expansion work [19], which necessitates the requirement of
staged/staggered heat release via stratified combustion.
1.2.2 Stratified Gasoline Compression Ignition (GCI)
Studies have been conducted along the path of using fuels that perform ‘staged heat
release’, such as low-temperature heat release (LTHR) or intermediate-temperature heat
release (ITHR) followed by high-temperature heat release (HTHR). An early study from
Dec et al. [20] discovered that the autoignition tendency for iso-octane and conventional
gasoline is not affected by increasing charge equivalence ratio at naturally aspirated
conditions. Moreover, the cool-flame reactions, which is another term for LTHR, is not
measurable for gasoline at naturally aspirated conditions. He also indicated that the
autoignition tendency of Primary Reference Fuel 80 (PRF80), however, is strongly affected
by increasing φ even at lower intake pressures. Based on this φ-sensitivity, the stratified
charge of PRF80 significantly advances combustion phasing and improves low load HCCI
combustion efficiency. Based on these findings, Sjöberg et al. successfully implemented
partial fuel stratification (PFS) and stretched heat release process by using stratify charged
PRF80 and PRF83 at naturally aspirated condition [21]. It was evident that two-stage
autoignition fuels (i.e., fuels with either LTHR or ITHR in addition to their HTHR) are
required to successfully implement PFS. Also, Sjöberg mentioned that diesel could be a
potential substitute fuel for PFS since it exhibits substantial two-stage heat release,
provided that the issues with its low volatility can be resolved for the intake stroke
7
injection. When the results are compared with fully premixed charge HCCI, PFS had a
lower PPRR, and was able to effectively increase the load from 5.37 bar to 5.97 bar with
acceptable engine knock and emissions. After successfully implementing PFS with PRF
blends, new findings by Dec et al. showed that gasoline exhibits φ-sensitivity at
substantially higher boost levels [22]. Specifically, for 87 Anti-Knock Index (AKI)
gasoline, which is the same fuel that was chosen in this study, the φ-sensitivity at the
naturally aspirated conditions was not observed; however, 87-AKI gasoline starts to exhibit
φ-sensitivity at an intake boost level of 1.6 bar absolute. Although the φ-sensitivity was
noticeable around 1.6 bar, it was not very strong until the boost level reached 2 bar. It was
indicated that both delaying the SOI timing and decreasing the split fraction could be
effective at decreasing the PPRR and reducing the burn rate. The following equation shows
the mathematical definition of injection split fraction (SF) that will be used throughout this
study.
𝑆𝐹 =�̇�𝑃𝑟𝑒𝑚𝑖𝑥𝑒𝑑
�̇�𝑇𝑜𝑡𝑎𝑙× 100% =
�̇�1𝑠𝑡 𝑖𝑛𝑗.
�̇�𝑇𝑜𝑡𝑎𝑙× 100% =
�̇�𝑃𝐹𝐼
�̇�𝑃𝐹𝐼 + �̇�𝐷𝐼× 100 (1)
In low-temperature combustion, especially HCCI combustion, mid-range
compression ratios are used. This is often because the engine platform is based on an SI
engine, and sometimes there is a motivation to operate the engine in either SI or HCCI (i.e.,
dual-mode capabilities). Almost all of the findings discussed above were conducted on a
heavy-duty diesel engine with a relatively low compression ratio (around 12-14). Olsson
at al. have shown that high compression ratio benefits HCCI combustion and lowers NOx
emissions at high load with almost no effects on the heat release rate [23]. In one of the
8
most recent experimental studies [24], the authors concluded that the high load limit was
more successfully extended at a compression ratio of 16 than a compression ratio of 14. It
is encouraging that gasoline displays φ-sensitivity at boosted conditions, but there is strong
motivation to explore strategies that can enhance the effectiveness of PFS at lower and
more realistic light-duty automotive boost levels (e.g., 1.6 bar). Additionally, the majority
of the experiments in the literature (described above) have been conducted on a medium-
duty or heavy-duty engine at a mid-range compression ratio. Therefore, it is desired to
explore and optimize gasoline PFS combustion strategy on a light-duty diesel engine at a
relatively high compression ratio of 16:1 and at a more practical boost level.
The cylinder stratification level is the key to authorize control over the combustion
process, where the injection strategy is one of the most effective approaches to manipulate
the stratification level. As a result, even using the same fuel as gasoline, the naming of
combustion mode/process could be somewhat distinct based on different injection
strategies. Figure 2 shows the employment of different injection that results in different
level of fuel stratification.
In PFS, the majority of fuel, i.e., 70 - 90%, is premixed via either port fuel injection
or very early direct injection so that the fuel has enough time to mix with fresh incoming
charge. The direct injection occurs at the mid-to-late compression stroke, i.e., 60 to 40
CAD before TDC, to create fuel stratification. After compression, the richer regions ignite
first, and the ignition happens sequentially based on the local equivalence ratio (typically
the combustion happens from rich to lean). The overall premixed charge in PFS mitigates
the formation of NOx and soot emissions, while the fuel stratification provides some level
9
of control over the combustion phasine and burn rate; however, as mentioned above, the
low stratification level could still be one of the limiting factors for the high-load operation
associated with high noise/heat release rate.
Figure 2: Gasoline compression ignition with different injection strategy and stratification level [25]
As the injection events are closer to TDC, the domain falls into medium/heavy fuel
stratification, or sometimes referred as just Gasoline Compression Ignition, or gasoline
Partially Premixed Compression Ignition (PPCI) [26]. Gasoline PPCI employs multiple
mid-to-late compression stroke injections, which provides more cylinder stratification and
sufficiently authorizes more control over the heat release process. Due to gasoline’s long
ignition delay, there is more time for it to get entrained with air before ignition happens
(when compared to conventional diesel fuel), and that limits the formation of soot
emissions. However, too much stratification or inhomogeneity could still bring difficulties
10
meeting the stringent emissions regulations [27]. Therefore, there is a tradeoff between
control over the combustion process and emissions formation. Finding the optimal
injection and air entrainment strategies could be the key to unlocking robust and clean GCI
combustion [28][29][30].
Overall, GCI has achieved great success from many perspectives, including
excellent fuel compatibility with low octane gasoline [31][32], high thermal efficiencies
(similar to conventional diesel combustion) [33], lower aftertreatment devices cost (mostly
related to low NOx and low soot emissions, which are the two of the most challenging
emissions to treat in conventional diesel combustion), lower fuel delivery system cost (due
to low injection pressure) [34], potentially better fuel economy (no need for DPF
regeneration, reduced parasitic losses, great potential for downsizing and down speeding).
However, the commercialization challenges for GCI remain. To achieve a higher
load limit without excessive ringing/noise, the optimal octane number of the fuel would be
relatively high (RON > ~70 or CN < ~25). This introduces great difficulties for low load
operation in terms of cyclic variability and high CO and UHC emissions [31][35][36]; thus,
cold start and idle stability are also difficult [37]. These challenges at low load operation
require a high IVC temperature, as illustrated in the previous section, to enable fuel
chemistry and achieve autoignition. Rebreathe or recompression (i.e., Negative Valve
Overlap, NVO) valvetrains are great candidates for the low load operation. They both
introduce hot residual from the previous cycle and accelerate fuel chemistry; however, the
penalty associated with high pumping losses reduces fuel economy to some extent [38][39].
On the other hand, high load operation prefers lower IVC temperatures and a large amount
11
of external cooled EGR to elongate the heat release process which lowers ringing and
mitigates the formation of NOx emissions [40]. This contradicts the ideal valvetrain setup
for the low load operation, which is another obstacle from a commercialization perspective.
Fast response and high accuracy EGR control could be challenging as well [41][42].
Additionally, high EGR rates significantly lower exhaust enthalpy which introduces
difficulties with turbocharging and aftertreatment.
Many of these challenges mentioned above are commonly experienced in various
LTC modes. The following section will introduce more about the challenges associated
with LTC.
1.2.3 Challenges with Low-Temperature Combustion
Stratified low-temperature combustion modes like GCI [43][44][45], reactivity controlled
compression ignition (RCCI) [47][48][49], and thermally stratified compression ignition
(TSCI) [50][51] provide the means of stratifying either the equivalence ratio (ϕ), in-
cylinder reactivity, or temperature distributions to achieve staged heat release process.
Although these LTC strategies still may not be able to achieve loads as high as the state-
of-the-art conventional combustion modes yet, the community is still actively working to
further extend their load ranges, and the issues of poor control and narrow load range are
not as limiting as they previously were. Because of LTC’s unique combustion and charge
preparation process, it features better emissions and potentially better efficiency too;
however, some other challenges remain, independent of the load range and control issue
that is actively being mitigated by second-generation LTC concepts.
12
One of the commonly experienced challenges in LTCs is the lower combustion
efficiency (compared to traditional SI combustion or conventional diesel combustion). In
LTC, the charge is overall lean and the peak bulk temperature is low, especially at low load
conditions [52]. Flowers et al. have shown that combustion efficiency improves
substantially with intake charge heating, but the penalty is faster heat release rates and a
decreased high load limit [53]. Additionally, previous research has shown that applying a
certain amount of EGR helps improve combustion efficiency at low-to-medium loads but
could also cause deterioration in combustion if the EGR increases beyond a certain limit
[54][55]. The same studies also indicated that EGR changes the mixture's properties, such
as its γ, which potentially decreases the amount of work that could be extracted from the
engine cycle and decreases the indicated thermal efficiency. Moreover, with some second-
generation, controlled LTC modes such as PFS or GCI, EGR lowers the oxygen availability
and restricts the maximum load limit [56]. By understanding the sources of unburned
hydrocarbon (UHC), oxygenated hydrocarbon (OHC), and carbon monoxide (CO)
emissions, the combustion efficiency can be improved. Dronniou et al. employed Planar
Laser Induced Fluorescence (PLIF) imaging technique to shed light on the in-cylinder
temperature stratification [57]. Figure 3 shows the motoring in-cylinder temperature
distribution at the top dead center (TDC), demonstrating that the wall-affected regions
could be 100 K colder than the hot spots, and some cold pockets are observed in the bulk
gas. Since LTC heavily relies on fuel chemistry to start autoignition, some of these cold
regions may never reach a sufficient temperature for long enough to achieve autoignition
or complete the combustion reaction, which contributes to incomplete combustion
13
emissions. This incomplete combustion emissions can be improved by applying a layer of
thermal barrier coatings onto the combustion chamber surfaces to increase their
temperature and help oxidization at those regions. The coating manufacturing and
preparation process will be discussed in detail in Section 2.3.
Figure 3: Simulated temperature distribution at TDC [57]
Achieving sufficient ignition temperatures requires high intake valve closing (IVC)
temperatures, which is usually achieved by trapping hot residuals or high intake
temperatures. Kuo et al. showed the feasibility of using a flexible valvetrain with negative
valve overlap to increase internal residuals; however, the penalty associated with extra
pumping losses was also noticeable [59]. On the other hand, intake heating could
potentially increase parasitic losses and indirectly affect fuel economy. Another
disadvantage of LTC is its low exhaust enthalpy due to the relatively high compression
ratios, lean operation, and high thermal efficiency, which is a challenge for aftertreatment
and turbocharging.
All of these challenges with LTC mentioned above (i.e., low combustion efficiency,
high required IVC temperature, and low exhaust enthalpies) can be improved with thermal
barrier coatings (TBCs). TBCs can lower the required intake temperature, increase the
14
temperature in the near-wall areas that contribute to UHC and CO and improve combustion
efficiency, and increase exhaust temperature for LTC aftertreatment and turbocharging.
Therefore, there is a promising marriage between the TBCs and the LTC, which can result
in high brake efficiencies while mitigating the remaining issues of LTC.
Recently, studies of thin TBCs in LTC have shown that the hotter wall temperatures
enabled by TBCs not only benefit thermal efficiency but also improve combustion
efficiency. Powell et al. have performed sequential studies with an yttria-stabilized zirconia
(YSZ) coating that showed advanced combustion phasing and an operating region shifted
toward lower load when maintaining the same intake temperature, which lowered the HCCI
low load limit associated with incomplete combustion or misfire [60]. A following trial by
the same research group focused on optimizing the temperature swing by establishing
structured porosity into coating structure (YSZ-SP), which provides more favorable
thermophysical properties with almost half the thermal conductivity and heat capacity of a
fully dense layer. Tangible improvements in thermal efficiency were reported, where the
gains of the porous structure were more than doubled than that of the fully dense coating
[61]. The authors also noted that excessive porosity and roughness could negatively impact
HCCI combustion. To avoid the possible losses caused by porosity while maximizing the
benefits of low thermal conductivity material, Filipi et al. began a search for a new pathway
of using a naturally low-k material called Gadolinium Zirconate (GdZr) with modest
porosity of only ~10% [63]. Similar experimental investigations were implemented, and
the results showed an overall enhancement of combustion and thermal efficiencies,
operating range, as well as durability, compared to previous coating generations [63].
15
All of the HCCI trials mentioned above were conducted using thin temperature
swing coatings, where the intake temperature reported in the literature was ~90 °C, and a
rebreathe valvetrain was used to trap a considerable amount of hot residuals. This intake
temperature requirement is already above most other combustion concepts, and the hot
internal residuals further contribute to high intake valve closing (IVC) temperatures. If a
low internal residual strategy is employed, the intake temperature requirement would be
much higher than ~90 °C. In other words, intake charge heating is inevitable for kinetically
controlled combustion. However, we propose that applying a thick TBC to meet the
required ignition threshold could be beneficial for combustion efficiency and thermal
efficiency in HCCI, where the thick TBCs would not incur any additional intake charge
heating penalty beyond what is currently imposed by hot internal residuals and/or intake
charge heating. In fact, the high intake temperature requirement of HCCI is viewed as one
of the current limitations to commercialization. Therefore, thick TBCs in HCCI can lower
the required intake temperature while increasing combustion efficiency, thermal
efficiency, and exhaust enthalpy (which is a separate challenge for LTC). It is expected
that these benefits will not be associated with any drawbacks to end-gas knock or charge
heating in HCCI. However, as mentioned earlier, the community has developed a number
of second-generation LTC modes that are variations on HCCI, and the combustion
characteristics vary case-by-case. Thus, the “thick” coating may not be the panacea for all
LTC modes. This dissertation will help determine the impacts of various coating properties
on different advanced combustion modes.
16
1.3 Objective of the Current Approach and Specific Tasks
The common challenges associated with LTCs can be improved with thermal barrier
coatings on the combustion chamber. The majority of the recent literature is related to
temperature-swing TBCs for conventional combustion modes to avoid the issues of charge
heating. Recently, the assessment of thin, temperature-swing TBC on LTC has been
investigated. However, the application of thick or other forms of TBCs with LTC modes
have not been studied and tested in the past. More importantly, the LTC modes are
fundamentally different from conventional combustion modes. For example, the
combustion event in conventional combustion modes is triggered either by spark discharge
(e.g., in SI combustion), or by the direct injection timing in mixing controlled combustion
(i.e., conventional diesel combustion). Therefore, the mixture's temperature history in the
conventional combustion modes is not as critical as it is for kinetically-controlled LTC
modes. In LTC, autoignition occurs when the thermodynamic conditions are fulfilled, such
as the temperature, pressure, equivalence ratio, and time. Since TBCs can alter the
mixture's thermodynamic state by influencing the intake requirements and compression
heat transfer, and since the effects of TBCs and their independent properties on LTC have
not been systematically explored, it is necessary to perform a comprehensive study on the
effects of TBCs on LTCs. Meanwhile, the impact of different fuel properties, such as
cooling potential and autoignition resistance, are also in the scope of the current work. In
the end, the evaluation of the most favorable coatings properties for different LTC modes
(i.e., HCCI and GCI) will be discussed.
17
Beyond what has been discussed above, low-temperature GCI has shown encouraging
characteristics on high efficiency and ultra-low emissions engine operation. However,
significant efforts should still be paid on optimizing the injection strategy to enhance the
cylinder stratification level to authorize more control over the combustion process at a
practical boost level, i.e., 1.6 bar, which would be favorable in a commercialization goal.
The specific tasks of this dissertation are summarised below.
1.3.1 Demonstration and justification – Comprehensive experimental investigation of
thick thermal barrier coatings for HCCI (CHAPTER 2 & CHAPTER 3)
• Experimentally investigate the effects of thick TBCs on HCCI in terms of engine
efficiencies, emissions, load range, intake heating requirement, and exhaust
enthalpy
• Investigate the performance of thick TBCs in HCCI with different fuels, including
a conventional fuel (87-AKI gasoline) and wet ethanol
• Investigate the interaction between the high latent heat of vaporization fuel spray
and the coating surface
1.3.2 Deep dive into the fundamentals – A parametric computational investigation into
the effects of various coating properties for HCCI (CHAPTER 4 & CHAPTER 5)
• Develop a 0D thermodynamic model simulation coupled with a 1D TBC solver to
numerically investigate the TBCs’ thermophysical properties and their independent
influence on the combustion characteristics of HCCI
• Optimize the TBC parameters to maximize the benefits for HCCI
1.3.3 Clemson GCI test cell commissioning (CHAPTER 6)
18
Design and commissioning a state-of-the-art GCI engine
1.3.4 Establishing the understanding of GCI - an experimental investigation of injection
strategies for gasoline PFS (CHAPTER 7)
• Explore and optimize gasoline PFS combustion strategy on a light-duty diesel
engine at a more practical boost level (i.e., 1.6 bar)
1.3.5 A preliminary guideline for TBCs with GCI – A computational evaluation
(CHAPTER 8)
• Investigate the effect of TBCs on GCI through 0D thermodynamic modeling
coupled with 3D-CFD modeling
• Explore and provide preliminary guidance of optimal TBC configuration (i.e.,
material and thickness) for GCI combustion
19
CHAPTER 2. EXPERIMENTAL SETUP AND METHODOLOGY
2.1 Experimental engine test cell
The experiments were conducted on a 421.5 cc single-cylinder light-duty diesel engine.
Figure 4 shows the layout of the entire engine system. The Ricardo Hydra engine block
was coupled with the first cylinder of a production four-cylinder, 1.7-liter GM-Isuzu engine
head, and the other cylinders were deactivated.
Figure 4: Engine test cell layout
Since advanced combustion modes do not rely on in-cylinder turbulence and
mixing in a similar manner to the conventional combustion modes, the OEM piston with a
re-entrant bowl was replaced by a custom-designed shallow bowl piston (shown in Figure
5) to improve heat transfer characteristics, combustion efficiency, and UHC emissions
associated with the LTC. Figure 5 shows the geometry of the combustion chamber with
the custom-designed pistons at the top dead center (TDC). The custom piston was designed
to have the same compression ratio (CR) as the production re-entrant bowl piston. It can
20
be noted that the squish region has been considerably reduced with the shallow bowl
design, which helps minimize incomplete combustion. Moreover, the more favorable
surface-to-volume ratio could potentially reduce heat transfer losses [30]. Some of the
relevant engine specifications are shown in Table 1.
Figure 5: Geometry of the combustion chamber at TDC
Table 1: Engine specifications
Displacement [cc] 421.5
Bore [mm] 79
Stroke [mm] 86
Connecting Rod Length [mm] 160
Compression Ratio 16.0
Number of Valves 4
Intake & Exhaust Valve Lift [mm] 8.12
Intake valve open (IVO) [deg aTDC] 354
Intake valve close (IVC) [deg aTDC] -146
Exhaust valve open (EVO) [deg aTDC] 140
Exhaust valve close (EVC) [deg aTDC] 366
The air is boosted by an air compressor and then throttled to target boost value or
naturally aspirated condition by an Alicat Scientific MCRW-1000 flow controller to
21
simulate the boosted intake air. The intake controller also measures the mass flow rate of
the intake air. A 5-kW heater is downstream of the Alicat flow meter and is PID-controlled
by a custom Labview program to control the intake temperature. After the exhaust plenum,
a back-pressure valve is mounted to regulate the exhaust pressure to ensure that the
pressure in the exhaust plenum is higher than the intake which simulates a turbocharger
and enables external exhaust gas recirculation (EGR) back to the intake plenum. An
electronically controlled solenoid valve controls the EGR flow rate. The EGR percentage
is calculated based on the CO2 content in the intake plenum, which is measured by a Horiba
MEXA 7100 D-EGR emissions bench. K-type thermocouples are used to measure most
temperatures such as the intake and exhaust temperatures immediately before and after the
intake and exhaust ports, respectively, the EGR temperature in the external-cooled EGR
line, as well as the coolant and oil temperatures at the engine inlet and outlet.
The cylinder pressure is measured by a Kistler 6041A water-cooled pressure
transducer on a high-speed basis and pegged to the intake pressure around bottom dead
center (BDC). All of the high-speed measurements are trigger by the Kistler 2614C11
crank angle encoder coupled to a pulse-multiplier, whose final resolution is 0.1 crank angle
degrees (CAD). Both the intake and exhaust pressure are measured on a high-speed basis,
which captures the working fluid’s dynamics.
2.1.1 Specific experimental setup for TBC-HCCI study
In the process of machining several pistons to be tested, some with and some
without TBCs applied, there were slight errors in the clearance volume caused by the
machining process that caused the compression ratio to deviate from the targeted value of
22
15.8:1. The compression ratios of the coated pistons varied slightly from 14.7 to 15.2.
Figure 6 shows the piston preparation process from the unmachined blank piston to the
final coated piston with the desired shallow bowl shape. First, the blank piston was
machined down to the different levels with shallow bowl shape depending on the desired
TBC thickness. Then, the primary coating materials were plasma sprayed onto the top
surface of the piston, layer-by-layer, while masking the other piston surfaces such as the
ring pack area and the piston shirt. The last step is to create a dense sealing layer on the top
surface of the coating, if desired, which involved spraying a much denser layer of smaller
particles of the same material onto the surface of the coated piston. The TBC surface was
finished with some light polishing of the ceramic surface. A more elaborate description of
the spray and coating technique is provided in the following section. Figure 7 shows the
three coated pistons after ~15 hours HCCI operation.
24
Figure 7: TBC conditions after 20 hours of testing
The performance of three coated pistons is compared to two uncoated metal pistons.
The coated pistons include two pistons with a 1mm and a 2mm coating that are finished by
the surface sealing process, and a 2mm coated piston without the surface sealing.
Two fuels were tested, and the details about fuels’ properties are provided in Table
2. Gasoline was only injected into the intake port to create a homogeneous air-fuel mixture.
The gasoline was an EPA Tier III EEE certification gasoline with 10% ethanol from
Haltermann Solutions. In addition to gasoline, wet ethanol 80 was chosen as an alternative
fuel with a very high latent heat of vaporization, which is 80% ethanol and 20% water on
a mass basis. Compared with other fuels such as gasoline or diesel, ethanol itself has a very
high latent heat of vaporization. Adding water further increases the heat of vaporization of
the mixture, which presents unique opportunities but also challenges. Previous work found
that this extremely high cooling potential gives wet ethanol the ability to control the IVC
25
temperature by varying the injection timing during the intake stroke, which varied the
fraction of heat that was absorbed from the combustion chamber surfaces versus the
incoming charge [68]. However, this massive evaporative cooling capacity further
increases the intake temperature requirement of LTC to balance the cooling effect from
vaporization. Additionally, the wet ethanol can result in increased wall wetting because of
its cooling potential. By applying thick TBCs with LTC of wet ethanol, the charge heating
penalty incurred by the TBCs can be used to counteract the intake evaporative cooling, and
the TBC can provide hotter walls that ensure proper evaporation. Thus, it is mutually
beneficial to use thick TBCs with advanced LTC using wet ethanol.
The DI fuel system was from a conventional diesel engine fuel delivery system
using the high-pressure common rail with a Bosch CP3 pump and a Bosch solenoid-style
direct injector. Based on the combustion mode and start of injection (SOI) timings, a
centrally mounted six-hole injector with 150°/60° included angle was used. The 150°
injector tip was used in the load sweep at fixed SOI timing of -330 aTDC. This timing and
injection angle is intended to avoid the spray targeting to the piston surface, which
maximized the penetration length of the spray and ensured the mixture's homogeneity. The
60° injector tip was used in the SOI timing sweep from -350 to
-210 deg aTDC, and this setup is intended to investigate the interaction between the spray
and the coated piston surface.
Since wet ethanol does not have the same lubricative ability as diesel, 500 ppm of
Infineum R655 lubricity additive was premixed with the wet ethanol before adding the fuel
to the fuel system. Previous experimental test results showed that adding this amount of
26
lubricity additive does not have a noticeable impact on the fuel’s autoignition properties
nor the combustion process [69]. The gasoline PFS study uses the same fuel system but
with some minor differences such as the injector included angle, and a split fraction of port
fuel injection (PFI) and direct injection (DI). The following paragraph introduces the fuel
delivery method for the gasoline PFS study.
Table 2: Fuel properties
Fuel 87-AKI gasoline Ethanol WE 80
H/C Ratio 2.003 3 3.64 O/C Ratio 0.0333 0.5 0.82
Ethanol Content [%] 9.9 100 80 Water Content [%] 0 0 20
Lower Heating Valve [MJ/kg] 41.85 26.74 21.39 Anti-knock Index (R+M)/2 87.5 100 -
2.1.2 Fuel delivery method for the gasoline PFS study
In the PFS investigation, 87-AKI (antiknock index) gasoline was delivered via both
PFI and DI (with a 60-degree included angle injector) to enable cylinder fuel stratification.
Although researchers have shown that using a dual direct injection, where the first injection
occurs during the intake stroke to create a premixed mixture and the second injection
occurs during the late compression stroke to increase the φ stratification, is an effective
method to enable PFS in a production engine [67], in this study, the gasoline is both port
fuel injected to create the homogeneous background equivalence ratio and direct injected
during the compression stroke to create the desired φ stratification. While this approach is
further from production, it provides a more fundamental experiment because the PFI and
27
DI fuel flows can be measured accurately and controlled independently, which provides
straightforward control of the split fraction. Additionally, the experiment is more
fundamental because the PFI of the background gasoline avoids any possible
inhomogeneity created by an intake stroke DI on a light-duty engine.
2.2 Data Acquisition and Analysis Methodology
Three hundred consecutive cycles of both high- and low-speed data are recorded by a
custom Labview program, which also performs real-time monitoring of several combustion
performance metrics such as processed heat release rate, ringing intensity, efficiencies, etc.
as well as providing real-time engine controls of injection pressure, timing, and the number
of injections. The raw saved data are post-processed by a high-accuracy data analysis
routine developed in a custom Matlab script. The code uses higher-order accuracy
derivatives and integration techniques, uses the NASA polynomials for mixture properties
based on the temperature, pressure, and composition of the mixture at each time-step
throughout the engine cycle, and uses a heat transfer correlation with energy closure to
provide accurate results from a heat release analysis of the experimentally collected
pressure data. The heat release analysis is performed through the following procedure. The
determination of the net heat release rate (NHRR) is first, which is derived from the first
law of thermodynamics and is shown in the following equation:
𝑁𝐻𝑅𝑅 [𝐽
𝐶𝐴] =
𝛾 ∗ 𝑝𝑑𝑉
𝛾 − 1+
𝑉𝑑𝑃
𝛾 − 1 (2)
where P is the cylinder pressure, V represents the combustion chamber volume and 𝛾 is the
ratio of specific heats. This net heat release rate represents the heat release that can be
28
captured by the cylinder pressure and volume changes, but the heat transfer losses are not
included in this step.
Chang’s heat transfer correlation is used to estimate the heat transfer losses to the wall,
head, and the piston [70], shown in the following convective heat transfer model:
𝐻𝑇 = ℎ ∗ 𝐴𝑟𝑒𝑎 ∗ (𝑇𝑏𝑢𝑙𝑘 − 𝑇𝑤𝑎𝑙𝑙) (3)
where Tbulk is the cylinder bulk temperature calculated from cylinder pressure, volume, and
trapped mass, and Twall is the estimated cylinder wall temperature at 430 K. Although the
cylinder liner, head, valves, and piston are made of different materials, and they might have
different temperatures, compared to a constant assumed wall temperature, the difference
by accurately prescribing those temperatures individually is negligible. Thus, a constant
wall temperature is used here. The area is the surface area of the combustion chamber.
Moreover, h is the convective heat transfer coefficient and it is related to the displaced
volume, bulk temperature, cylinder pressure, etc. using the Chang correlation. The heat
transfer losses are scaled using the energy closure method (i.e., scaled to match the
difference between the cumulative net heat release and the amount of fuel energy that was
injected and release by combustion). Once the heat transfer losses are determined, the gross
heat release rate (GHRR) is determined by adding the heat transfer losses to the net heat
release rate. The mass fraction burned (MFB) curve can be determined by integrating the
GHRR with respect to the crank angle, and then normalizing by the total cumulative heat
release. The MFB provides the relationship between the fraction of fuel that has burned
and the piston position, which is indicated by the crank angle. In this study, CA10
represents the crank angle where ten percent of fuel has burned, which is considered as
29
combustion initiation; CA50 represents the crank angle where 50 percent of fuel has been
burned, which is denoted as the combustion phasing. The burn duration is the duration
between CA10 and CA90, which shows how long the combustion takes from start to
completion. An uncertainty analysis of the heat release process was conducted during post-
processing [71].
The data were recorded after reaching steady-state to ensure the data quality, and
the following metrics were indicative of steady-state operation: the variation of CA50 (i.e.,
the crank angle location where 50% of the mass has burned) was less than 0.5 CAD, the
intake temperature variation was less than 0.3 K, and the coefficient of variation (COV) of
net IMEP was less than 3%. For safety considerations, the PPRR is limited below 8.5 bar
per crank angle degree, which is the most knocking case for pure HCCI. Moreover, the
peak pressure is limited below 100 bar.
2.3 Application of the TBCs and Measurements of Their Thermophysical Properties
An argon-hydrogen atmospheric plasma spray (APS) process (Oerlikon Metco, F4MB)
configured with a 6mm nozzle and a 90° 1.8mm injector was used to fabricate the primarily
yttria-stabilized zirconia (YSZ, Saint Gobain, SG204) TBCs. The piston surfaces were
prepared for TBC application by grit blasting the surface at 60 psi from a 125mm distance
using 24 mesh alumina grit. The surfaces were then cleaned and dried and were ready for
the TBC application by APS. Previous attempts to apply thick TBCs (on the millimeter
scale) experienced issues of cracking, delamination, or other failures induced by thermal
stresses during the engine cycle [72]. It was determined that these issues were related to
the difference in the coefficient of thermal expansion (CTE) between the base piston
30
material and the coating which resulted in internal stresses [73]. Additionally, thicker
coatings posed a larger challenge because of the larger change in temperature; therefore,
the internal stresses increased with the coating thickness. This issue can be resolved by
functionally grading the CTE layer-by-layer to minimize the step changes in CTE and
reduce thermal stresses [74]. In the present study, four layers of varying composition were
applied to grade the CTE starting from pure Ni5Al (Oerlikon Metco, 480NS) as a bond
coat applied to the surface of the uncoated piston. This bond coat represented about 5% of
the total thickness of the layer and was used to increase adhesion strength and resist high-
temperature oxidation in addition to grading CTE. Following the bond coat, a 50-50% by
volume YSZ-Ni5Al layer was applied to constitute 10% of the total thickness of the
coating. Next, a 70-30% by volume layer was sprayed representing 20% of the total
thickness. Finally, the bulk (65%) of the thickness of the coating was a 95-5% mixture by
volume of YSZ and Ni5Al. If the top sealcoat was desired, then an additional 97-3% by
volume thin layer was applied at about 40 μm. The seal coat was comprised of a finer YSZ
feedstock (Saint Gobain, SG240F) and a finer Ni5Al (Orelikon Metco, Diamalloy 4008).
A TA Instruments DXF 3050 thermal flash method was used to determine the properties
of each layer. An optical micrograph of the unsealed and sealed TBCs layers are shown in
Figure 8 and Figure 9, respectively.
Table 3 shows the details of each coating layer, and Table 4 has the effective coating
properties. Table 5 has the carrier gas flow rates which were optimized based on principles
reported by Vasudevan et al. [75] and the plasma gas flow rates and power, which were
determined based on a design of experiment considering in-flight particle properties
31
(Tecnar Automation AccuraSpray 3G) as outlined by Vaidya et al. [76]. For more
information about the thermal spray process, please refer to [77].
Table 3:Coating layer properties
Layer L1 L2 L3 L4 L5
1mm Layer Δx [μm] 50 100 200 650 40
2mm Layer Δx [μm] 120 240 480 1560 40
2mm Unsealed Layer Δx [μm] 120 240 480 1560 -
k [W/m-K]
[Wm-1K-1]
14.2 7.57 4.48 0.93 1.74
ρ [kg/m3] 7511 5893 5577 4490 5706
c [J/kg-K] 410 309 319 363 442
α [mm2/s] 4.62 4.15 2.52 0.52 0.69
Table 4: Combine layer properties
Combined Layer 1 mm sealed 2 mm sealed 2 mm unsealed
Thickness [μm] 1040 2440 2400
k [W/m-K] 1.328 1.267 1.261
ρ [kg/m3] 5026 4895 4880
c [J/kg-K] 354.3 347.9 346.0
α [mm2/s] 0.7455 0.7442 0.7469
Table 5: APS configurations
Layer L1 L2 L3 L4 L5
Argon [NLPM] 45 45 45 45 47
Hydrogen [NLPM] 4 6 6 6 6
Current [A] 550 550 550 550 600
Carrier Gas [NLPM] 3.5 4 3 3.5 3.5
Spray Distance [mm] 100 150 150 150 100
32
Figure 8: Optical micrograph for unsealed TBC layers
Figure 9: Optical micrograph for sealed TBCs layers
33
CHAPTER 3. THICK THERMAL BARRIER COATINGS FOR HCCI -
EXPERIMENTAL RESULTS AND DISCUSSION
3.1 Objective and Experimental operating conditions for thermal barrier coating
study
The main objective of this experimental study was to investigate the effects of thick TBCs
on the combustion and emissions characteristics of LTC. In this study, five pistons were
tested, including three coated pistons and two uncoated metal pistons to serve as
baseline/reference values. For all of the coated pistons, the desired coating thickness was
pre-machined off of the surface of the piston to provide the desired compression ratio to
match the metal baseline piston; however, due to the inaccuracies in the machining process,
the actual compression ratio of the coated pistons was slightly different from the desired
value and ranged from 14.7 to 15.2.
In order to provide a thorough comparison, two metal baseline cases with two
compression ratios were tested (15.8: and 14.0:1). It can be seen in Figure 10 that three of
the coated pistons are grouped relatively close to each other at a compression ratio of
~15.0:1, which is almost perfectly in between the two metal baselines cases. When a trend
goes above/below the metal baselines, a strong conclusion can be made that the effect of
TBC overpowers the effect of the difference in the compression ratio. Additionally, since
the coated pistons are relatively close in compression ratio, direct comparisons can be fairly
made between the coated cases.
34
Figure 10: Peak motoring pressure vs. intake temperature at naturally aspirated intake
Table 6 shows the engine operating conditions for thermal barrier coating investigation.
The engine was operated naturally aspirated in HCCI with two fuels and five pistons. For
each combination of the piston and fuel, a load sweep was performed while maintaining
the peak pressure rise rate (PPRR) below ~5 bar/CAD. In addition, due to the unique
cooling potential of WE80, several start of injection (SOI) timings were employed to
investigate the effect of spray/piston surface impingement, as well as the cooling effect
from WE80. The engine was running naturally aspirated with no exhaust throttle, i.e., near-
zero ∆𝑃 across the engine and near-zero pumping losses. It was shown that the rebreathe
or re-compression valve events could help to provide a favorable thermal environment and
to achieve controlled auto-ignition (CAI). Thus, significant intake heating or high
compression ratios were not required with CAI, which is potentially more viable for
commercialization on a gasoline engine archiecture, especially with potential multi-mode
35
operation with spark ignition. However, this study was carried out on a high compression
ratio, diesel-based engine architecture, and residuals are kept low (e.g., ~6% residual gas
fraction) to achieve pure-HCCI operation. Thus, intake heating is employed to provide the
necessary thermal condition for autoignition, and the intake temperature was varied to
match the combustion phasing for each piston at different loads.
Table 6:Engine operating conditions for the TBC studies
Engine Speed [rpm] 1200
DI Fuel Wet Ethanol 80 DI SOI Timing with 150° injector [deg aTDC] -330 IMEPg with 150° injector [bar] Swept from 2 bar to 5 bar DI SOI Timing with 60° injector [deg aTDC] Swept from -350 to -210
IMEPg with 60° injector [bar] ~3.8
DI Pressure [bar] 500
PFI Fuel 87-AKI Gasoline
PFI SOI Timing [deg aTDC] -120 IMEPg with 150° injector [bar] Swept from 2 bar to 5 bar
PFI Pressure [psi] 28
Coolant Temperature [K] 370
Oil Temperature [K] 360
3.2 Performance of TBC at different loads with conventional gasoline HCCI
Two fuels were investigated: The gasoline experiments are intended to determine the
effects of thick TBC on HCCI combustion with a conventional fuel. Wet ethanol is
intended to determine the interactions between thick TBCs and fuels with a high
evaporative cooling effect. A load sweep was performed for each fuel and piston
36
combination. During the load sweep, the low load was limited by excessive incomplete
combustion and COVs of IMEPg, while the high load was limited by the peak pressure rise
rate. In the following sections, the effects of thick TBCs on gasoline HCCI will be
illustrated first; then, the assessment of thick TBCs using wet ethanol as fuel will be
presented and compared with conventional gasoline. After that, the effect of WE80 SOI
timings will be investigated.
3.2.1 Intake temperature requirement - Gasoline
Figure 11 (a) shows the intake temperature with different pistons at different load
conditions. For all cases, the temperature requirement reduces as the load increases. Since
gasoline is not φ-sensitive at naturally aspirated conditions, this reduced intake temperature
requirement is presumably because of the hotter walls and higher residual gas temperatures
as load increases. As can be seen, the TBC cases did not break from the brackets of two
metal baseline cases; however, the estimated intake temperature for the equivalent
compression ratio of 14.9 is shown in green dotted line by taking the average of the two
metal cases. Both 2mm cases are able to lower the intake temperature requirement by 15
degrees because the hotter piston surface heats the incoming charge to reach the same
temperature after compression to achieve autoignition. The 1mm TBC cases did not show
any reduction in intake temperature even compared with the equivalent case, which could
be due to the lower CR. The error bars were not applied on this plot because the error for
K-type thermocouple is constant at about ±0.4% of the reading value.
For combustion modes like SI, diesel, and CAI combustion with constant intake
temperatures, the application of thick TBCs would lead to an intake charge heating penalty
37
and reduced volumetric efficiency and power density. However, thick TBCs seem to be
well-suited to pure-HCCI, i.e., HCCI with low residuals and higher intake temperatures,
especially for fuels with a high octane number and/or evaporative charge cooling potential.
Previous studies conducted by Powell [60][61], O'Donnell [62], and Filipi et al. [63]
showed that thin temperature swing coatings are a promising approach for HCCI with a
constant intake temperature and high internal residuals. It is important to note that there
are many ways to achieve HCCI. These studies were conducted on a mid-compression ratio
gasoline-based engine, which utilized a rebreathe valvetrain and fell into the category of
CAI. The main idea of CAI is aiming for commercialization feasibility, which brings the
hot exhaust gas back into the cylinder during the intake stroke to assure the thermal
environment for auto-ignition. In other words, if the intake temperature of CAI is not
allowed to be varied, it would be mimic a production engine’s operation. The approach
then was to apply the external EGR or variable valvetrain to adjust the combustion phasing.
The approach for the current study was to vary the intake temperature to match combustion
phasing while operating on a low-residual, pure-HCCI regime. In a production engine,
actively varying the intake temperature is not practical; however, the ability to control
combustion phasing in LTC is a requirement. Therefore, it is presumed that the production
variant would have variable valve timing with NVO, which would achieve the same effect
as varying the intake temperature to match combustion phasing. Since the experimental
engine used in this research has fixed valve timings, the intake temperature was used to
match combustion phasing rather than variable valve timing with NVO. Due to the
difference in approach between the previous work of Powell [60][61], O'Donnell [62], and
38
Filipi et al. [63] and the current study, the results and conclusions may be distinct from the
pioneering studies mentioned above due to the difference in engine architecture and
operating strategy.
Figure 11: Intake and exhaust temperature vs. IMEPg at 1200rpm with a constant CA50 for each piston, i.e., phase-match
3.2.2 The Heat Release Process and Load Range – Gasoline
The gross heat release rate (GHRR) and cylinder pressure are shown in Figure 12. The
lowest load of approximately 2 bar IMEPg is shown on the top plot, and the highest load
of approximately 4.6 bar IMEPg is shown in the bottom plot. The pressures after
compression and the peak pressures during combustion vary by piston due to the
compression ratios differences. More importantly, at a certain load condition, regardless of
the coated or metal pistons, the combustion phasings are kept constant, and the heat release
39
profiles are very similar. At the high load condition in the bottom plot, the metal piston
with CR = 15.8 (shown in blue) has a lower peak heat release rate; this is presumably due
to slightly retarded combustion phasing.
Figure 12: Gross heat release rate (left) & cylinder pressure (right) vs. crank angle
Additional combustion characteristics are shown in Figure 13, including the PPRR,
the CA50 combustion phasing, and the 10-90% burn duration. Throughout the load sweep,
the combustion phasing of different pistons was kept fairly consistent, and the CA50 is
40
retarded as the load increases because of the threshold of PPRR of ~5 bar/CAD. The PPRR
plot in Figure 13(a) and the burn duration plot in Figure 13(c) show that the 2mm sealed
TBC piston (red) has the highest PPRR and the shortest burn duration among all of the
tested pistons; however, the various piston cases are sometimes mixed with each other and
the trends are therefore inconclusive. It was hypothesized that TBCs might reduce the high-
load limit of HCCI, since HCCI combustion is extremely sensitive to the wall temperatures
and the thermal stratification in the cylinder [78][79], which might indicate that the higher
surface temperatures with TBC would accelerate the combustion process. However, the
data collected here did not conclusively show any impact of the TBCs on the high-load
limit of HCCI, since the 1mm sealed TBC, 2mm unsealed TBC, and two metal baselines
show the same trend. Thus, it can be concluded that among all of the tested pistons, the
thick TBCs do not have a noticeable impact on the heat release process. This is an important
finding because TBCs were shown to affect the high-load limit of both SI and conventional
diesel combustion due to charge heating. These results show that this effect is not a
consideration for the high-load limit of HCCI.
41
Figure 13: (a) PPRR, (b) CA50 combustion phasing, and (c) 10-90% burn duration vs. IMEPg at 1200rpm with a constant CA50 for each piston, i.e., phase-match
42
Contrary to the high-load limit, the low-load limit is considerably extended by the
TBCs. In this study, the low-load limit is defined as the load when combustion efficiency
is excessively low (below 86%). As shown in Figure 14, the dashed line is the low-load
cutoff line. The metal baselines reach the low load limit of 2.35 bar, and the 2mm TBC
case reaches 2 bar which is a 14.8% extension on the low-load limit.
3.2.3 Efficiency and Energy Distribution – Gasoline
This study follows the efficiency terminology and definitions in Heywood [1]. The
combustion efficiency, 𝜂𝑐𝑜𝑚𝑏𝑢𝑠𝑡𝑖𝑜𝑛, is defined as the percentage of fuel that burned during
the combustion process, and it is calculated from emissions speciation as shown in equation
(4), where 𝑥𝑖 is the mass fraction of CO, H2, and UHC.
𝜂𝑐𝑜𝑚𝑏 = 1 −(𝑚𝑎𝑖𝑟 + 𝑚𝑓𝑢𝑒𝑙) ∑ 𝑥𝑖𝑄𝑙ℎ𝑣,𝑖𝑖
𝑚𝑓𝑢𝑒𝑙 ∗ 𝑄𝑙ℎ𝑣,𝑓𝑢𝑒𝑙
(4)
The gross indicated fuel conversion efficiency, 𝜂𝑖𝑔,𝑓, is the efficiency based on the
total fuel energy delivered to the engine. The mathematical definition is shown in the
following equation:
𝜂𝑖𝑔,𝑓 =𝑊𝑖𝑔
𝑚𝑓𝑢𝑒𝑙 ∗ 𝑄𝑙ℎ𝑣,𝑓𝑢𝑒𝑙 (5)
where the thermodynamic work in the numerator is calculated from the measured cylinder
pressure and volume. The total fuel energy is the denominator where 𝑚𝑓𝑢𝑒𝑙 is the fuel that
is delivered to the engine per cycle, and the 𝑄𝑙ℎ𝑣,𝑓𝑢𝑒𝑙 is fuel’s lower heating value. Since
the fuel that is delivered to the engine does not completely release its energy, the gross
indicated thermal efficiency, 𝜂𝑖𝑔,𝑡ℎ, is introduced to decouple the effects of unburned fuel
43
on thermodynamics. The derivation of gross indicated thermal efficiency and the
relationship between these three efficiencies is shown in the equation below:
𝜂𝑖𝑔,𝑡ℎ =𝑊𝑖𝑔
𝑚𝑓𝑢𝑒𝑙 ∗ 𝑄𝑙ℎ𝑣,𝑓𝑢𝑒𝑙 ∗ 𝜂𝑐𝑜𝑚𝑏𝑢𝑠𝑡𝑖𝑜𝑛=
𝜂𝑖𝑔,𝑓
𝜂𝑐𝑜𝑚𝑏𝑢𝑠𝑡𝑖𝑜𝑛 (6)
In this calculation, the denominator only includes the energy that is released from the
oxidized fuel because that is the heat that was added to the thermodynamic cycle (i.e., the
“thermal” efficiency).
Figure 14 shows all three efficiencies introduced above. It can be seen in Figure
14(a) that the combustion efficiency generally increases with the load due to higher bulk
temperatures. The two metal baseline cases are relatively close to each other, with the lower
compression ratio case having a slightly higher combustion efficiency. This is due to the
higher pressures before ignition for the higher compression ratio case, which stores more
unburned fuel in the crevices. This trend agrees well with the findings from Sjöberg et al.
[80]. The combustion efficiency of the TBC cases is generally higher than that of the metal
baseline cases, and the 2mm sealed TBC case has the highest gain of about 1.5 percentage
points. For the TBC cases with a top seal coat, the combustion efficiency increases with
TBC thickness. Since most of the incomplete combustion in LTCs occurs in the cold
regions near the combustion chamber walls, the increased TBC thickness elevates the
surface temperature and improves the combustion efficiency. However, the 2mm unsealed
case does not show a significant benefit to combustion efficiency, which indicates that the
dense sealing surface has a substantial impact on fuel oxidization by sealing open pores
which can store unburned fuel. Tree et al. have shown the impacts of piston surface
roughness and porosity on fuel consumption of a diesel architecture [81]. Additionally,
44
both Powell et al. and Andruskiewicz et al. have indicated that the porosity and surface
roughness could potentially cause fuel pooling and absorption for open surface pores
during HCCI operation [82].
45
Figure 14: (a) Combustion efficiency, (b) gross indicated thermal efficiency, and (c) gross indicated fuel conversion efficiency vs. IMEPg at 1200rpm with a constant CA50 for each piston,
i.e., phase-match
46
Figure 14(b) shows the gross indicated thermal efficiency. As expected, the thermal
efficiency of the TBC cases is generally higher than the metal baseline cases, and both two
2 mm TBCs are generally higher than all the other cases. Since the reduction of heat
transfer losses and increase in thermal efficiency are only related to the material’s
properties and the TBC thickness but not the surface porosity, the thicker coatings
generally have higher thermal efficiencies than the thinner TBC or metal baselines. The
differences between the two metal baseline cases are due to the different CRs, where the
higher CR case has a higher thermal efficiency.
In Equation 5, the indicated fuel conversion efficiency is the product of the
combustion efficiency and the indicated thermal efficiency. As a result, the fuel conversion
efficiency of the 2mm sealed TBC case achieves the highest efficiency gain by 1.5 to 2
percentage points, which is about a 4-5% increase due to better combustion efficiency and
higher thermal efficiency due to reduced heat transfer losses. The 1mm sealed and the 2mm
unsealed cases have approximately the same improvement because the former has higher
combustion efficiency and the latter has higher thermal efficiency. The fuel conversion
efficiency gain with TBCs appears to have a trend of diminishing returns with increasing
thickness, where the increase from metal to 1mm is about 1.5 percentage points, and the
increase from 1mm to 2mm is only about 0.5 percentage points. However, more thickness
trials are required to determine conclusively.
The energy distribution chart of the highest load (at 4.6 bar) is shown in Figure 15.
The entire column corresponds to the fuel energy that is delivered to the engine, which
includes four sections: 1) the gross work, 2) the combustion inefficiency, 3) the exhaust
47
waste heat, and 4) the heat transfer losses (from Chang’s heat transfer correlations [70]
with energy closure as described above). The heat transfer portions are generally lower for
TBC cases, which supports the trends in thermal efficiency and the analysis mentioned
above. The saved heat transfer losses and the reduced unburned fuel increase the useful
work and the exhaust gas enthalpy. Comparing two metal baselines, the heat transfer losses
are approximately the same, and the MetalL case (the thicker head gasket and lower
compression ratio) has higher exhaust enthalpy and lower work output because of the lower
compression ratio and lower thermal efficiency. Note that if the compression ratio of metal
baseline perfectly matched the TBC cases, the values of the baseline would be about the
average of the two metal cases, since the change in compression ratio is small and the trend
can be considered linear over that range.
48
Figure 15: Energy distribution chart for gasoline with the five different pistons at load of 4.6 bar IMEPg. MetalH is the metal piston with the higher compression ratio and MetalL is the metal
piston with the lower compression ratio.
3.2.4 Emissions – Gasoline
The emissions are shown in Figure 16. The 2mm sealed TBC case has the lowest UHC and
CO emissions due to higher surface temperatures which raise the gas temperature of the
cold regions near the piston surface. It is interesting to note that the TBCs improve both
the UHC and CO emissions, rather than only affecting the UHC emissions. For the 2mm
unsealed case, even though the surface temperature is higher than that of the 1mm sealed
surface, it has higher UHC emissions, which is assumed to be due to the porous surface
storing unburned fuel.
49
It was hypothesized that the NOx emissions might increase for the TBC cases;
however, the results did not break the metal baseline brackets. Therefore, it can be
concluded that thick TBC do not negatively impact NOx emissions.
Figure 16: (a) UHC, (b) CO, and (c) NOx emissions vs. IMEPg, at 1200rpm with a constant CA50 for each piston, i.e., phase-match
3.3 Performance of TBC at different loads with WE80 and compared with gasoline
In this section, similar experiments were conducted with wet ethanol 80 instead of gasoline.
The wet ethanol was direct injected at -330 CAD aTDC. The results from one of the metal
50
baseline cases (the higher compression ratio case) and the 2mm sealed TBC case will be
compared with the gasoline cases. The comparison is mainly focused on the load range,
efficiencies, and intake temperature requirement.
3.3.1 Load range, efficiencies, and energy distribution – WE80 & gasoline
Figure 17 shows the efficiencies versus the load range of both wet ethanol (dashed lines)
and gasoline (solid lines). Since ethanol has a higher octane number, it can be seen that the
load range for WE80 is slightly shifted toward higher loads compared to gasoline. For
WE80, the 2 mm sealed TBC improves the low-load limit from 2.6 bar IMEPg to 2.2 bar
IMEPg, which is an improvement of 15.4%, while the high load limit is approximately
constant (5.02 vs. 4.99 bar).
51
Figure 17: (a) Combustion efficiency, (b) gross indicated thermal efficiency, and (c) gross indicated fuel conversion efficiency vs. IMEPg for gasoline (solid lines) and wet ethanol (dashed
lines) at 1200rpm with a constant CA50 for each piston, i.e., phase-match
52
The combustion efficiency is shown in Figure 17(a). The WE80 metal baseline is
generally lower than that of the gasoline. One possible reason is that ethanol has a higher
autoignition resistance, which potentially leads to more incomplete combustion from the
cold regions. Otherwise, the high cooling potential of WE directly injected into the cylinder
and the spray targeting the piston crown during injection might cause poor evaporation and
wall wetting on the cold piston surface. The combustion efficiency of WE80 is significantly
improved with the 2mm sealed TBC on the piston. At lower loads, gasoline still exhibits
higher combustion efficiency because the surface temperature may not be high enough to
overcome the evaporative cooling of the WE. But, as the load increases, the surface
temperature of the piston increases, which aids evaporation and helps the combustion
efficiency of the WE80 case eventually catch up with the gasoline case. Overall, the
combustion efficiency is increased by up to 1.5 percentage points for WE. The gasoline
experiences most of the combustion efficiency benefits at low loads, while the WE
experiences most of its combustion efficiency benefits at mid-to-high load. The emissions
data for the WE and gasoline comparison are shown in Figure 18, which agrees well with
the discussion above. These combustion efficiency improvements provide evidence of why
thick TBCs are well suited to fuels with high evaporative cooling potential.
53
Figure 18: (a) UHC, (b) CO, and (c) NOx emissions vs. IMEPg for gasoline (solid lines) and wet ethanol (dashed lines) at 1200rpm with a constant CA50 for each piston, i.e., phase-match
54
Thick TBCs provide a similar gross indicated thermal efficiency gain for the WE
case as the gasoline case, and the increase in fuel conversion efficiency is higher for the
WE due to the larger improvement in combustion efficiency. The plots of thermal
efficiency and fuel conversion efficiency did not include error bars because of the clearness
of the figure. A version of the fuel conversion efficiency plot that includes error bars is
shown in the Appendix in Figure 84.
The energy distribution chart at the load of 4.6 bar for both WE (second highest
load for WE) and gasoline (highest load for gasoline) is shown in Figure 19. The
distribution structure is similar to Figure 15. For the metal baseline comparison, WE has a
slightly higher percentage of work output than gasoline. One of the possible explanations
for this is that the air-fuel mixture with WE has a slightly higher ratio of specific heats (𝛾)
than gasoline. Other than that, the distribution for both gasoline and WE are very similar.
Reduced heat transfer losses are tangible in both WE and gasoline cases, and the reduction
in heat transfer losses for the 2mm sealed piston is about 13.6%. It is important to note that
only the piston was coated due to ease in the coating process and the availability of spare
piston blanks. However, in a production variant of this concept, the piston, head, and valves
would all be coated which would amplify all of the trends shown in this study.
55
Figure 19:Energy distribution chart for WE80 and gasoline
3.3.2 Intake temperature requirement – WE80 & gasoline
The trends of intake temperature are shown in Figure 20. The intake temperature of all
cases decreases as load increases. Since both gasoline and wet ethanol do not exhibit φ-
sensitive at this intake pressure and compression ratio [22], this decrease in intake
temperature is most likely associated with increasing residual gas temperatures and
increasing wall temperature. Dec et al. have shown similar trends using iso-octane [83],
which is also a single-stage heat release fuel (that is not φ-sensitive) at naturally aspirated
conditions.
56
Figure 20: Intake temperature vs. IMEPg at 1200rpm with a constant CA50 for each piston, i.e., phase-match
Another interesting trend that can be seen in Figure 20 is that the temperature
decreases by about 40 K from the lowest load to the highest load for gasoline – however,
it only decreased by about 10 K for WE80. This is because the WE80 has an extremely
high evaporative cooling potential. As shown in Figure 21, the cooling potential of WE80
is significantly higher than gasoline (about 6.5 times), and this evaporative cooling
increases as the equivalence ratio increases. The high cooling potential needs to be
compensated for with intake heating to achieve autoignition. It is important to note that
these results were generated from steady-state operating points. The temperature
requirement of the transient operation would be different due to differences in transient
wall temperatures, residual properties, and combustion phasings. The 2mm sealed TBC
case is able to decrease the intake temperature requirement by about 10 degrees when
57
compared with the equivalent CR case, but the reduction is not as much as gasoline. The
plot that includes all of the tested pistons for WE80 is shown in Figure 22.
Figure 21: Cooling potential of different fuels
Figure 22: Intake and exhaust temperature vs. IMEPg (Wet Ethanol 80) at 1200rpm with a constant CA50 for each piston, i.e., phase-match
58
3.4 Performance of TBC with WE80 with varied SOI timings
3.4.1 The effect of injection timing and TBC on heat release process
Since wet ethanol has a high latent heat of vaporization, a sweep of SOI timing from -350
to -210 deg aTDC is used to help study the effects of thick TBC with a high heat of
vaporization fuel in advanced combustion. It can be observed in Figure 23 that all of the
cases have very similar heat release characteristics. Additional gross heat release rate
(GHRR) plots for other SOI timings are provided in the Appendix, Figure 85. Other heat
release indicators, such as peak pressure rise rate (PPRR), CA50, and burn duration for all
SOI timings, are shown in Figure 24.
Figure 23: Gross heat release rates (bottom) and pressure traces (top) vs. crank angle degree at SOI of -350 deg aTDC
The CA50s are targeted at a constant phasing around 6.8 deg aTDC, by adjusting
the intake temperature, which is shown in Figure 24(b). The metal piston with the thick
59
head gasket has a narrower SOI timing sweep (truncated at -250 deg aTDC), due to the
high intake temperature requirement for the low compression ratio case. The maximum
intake temperature supported by the experimental setup is 470 K, which was reached, and
the injection timing could not be retarded further. For all cases, the PPRR has a generally
consistent agreement. Although the 2mm sealed TBC case is usually slightly higher than
the others, the TBCs generally did not increase the pressure rise rate noticeably, despite the
higher piston surface temperature. By examining all of the cases in Figure 24 and the
60
GHRR figures in the Appendix, it can be concluded that TBC did not significantly impact
the heat release process and the knock intensity when matching CA50.
Figure 24: (a) PPRR, (b) combustion phasing, (c) burn duration vs. SOI timing with different coated pistons and the metal baseline cases, CA50 = 6.8 deg aTDC
3.4.2 The effect of injection timing and TBC on efficiencies and emissions
It can be observed from Figure 25 that the coated pistons and two metal baselines exhibit
the same trends that were shown in the previous section. Where the 2mm seal coated case
61
has the highest combustion efficiency, gross indicated thermal efficiency, and
consequently, fuel conversion efficiency. The combustion efficiency generally increases
with SOI timing before -270/-240 deg aTDC, then decreases. The reason for this trend is
that at early SOI timings such as -350 to -330 aTDC, the piston is very close to TDC, and
there is not much air in the cylinder yet. Therefore, the fuel impinges upon the piston
surface, which results in some mass in the wall film and lowers the combustion efficiency.
As the piston moves down at later SOI timings around -270/240 deg aTDC, a considerable
amount of hot air is inducted into the cylinder, which helps spray break up and provides
heat to compensate for the evaporative cooling. Therefore, the unburned fuel decreases due
to less mass in the wall film and the combustion efficiency increases. As the injection
timing is delayed further, the combustion efficiency starts to decrease after -240 deg aTDC
due to the spray targeting the crevice volume around -230 deg aTDC, where the unburned
fuel is stored and released as a significant portion of UHC emissions. Further delaying
injection timing leads to the fuel spray impinging upon the cylinder liner which causes wall
wetting and lowers combustion efficiency. Figure 26 includes a 3D CAD model that shows
the spray angle and piston position at different injection timings, which supports the
explanations above.
62
Figure 25: Efficiencies vs. SOI timing for the different coated and metal baseline pistons, CA50 = 6.8 deg aTDC
63
Figure 26: Fuel spray visualizations at injection timings of -330, -300, -270, -240, and -210 degrees aTDC
Since the trends of combustion efficiency remain mostly the same among the metal
baselines and TBC cases through all of the tested injection timings, the spray/coating
surface interaction is not conclusive at this point. In order to further investigate the
interaction between the fuel spray and hot coated piston, a subset was chosen and analyzed.
In this subset, two injection angles (150° and 60°) were enabled by switching the injector
tips, and both injectors used an SOI timing of -330 deg aTDC with the same fueling rate.
Figure 27 shows the spray direction and the piston position. It can be seen that the 150°
injection angle avoids the spray aiming at the piston surface, and the penetration length
goes all the way up to the liner. Thus the 150° injector case represents the low impingement
interaction case. On the contrary, the 60° injector represents the high spray/surface
interaction case, where the spray aims at the center of the piston crown, and there is not
much room for it to penetrate before impinging the piston.
64
Figure 27: Visualization of two included angles (150° and 60°) at SOI timing of -330 deg aTDC
The combustion efficiency of this subset comparison is shown in Figure 28. By
comparing the two metal baselines (in blue), it can be seen that the 150° case has higher
combustion efficiency than the 60° case, which is mostly due to the longer penetration
length that provides better evaporation and less wetting on piston surface. In addition, it
can be seen that the TBC improves the combustion efficiency of both injection angles.
However, it is interesting to learn that the improvement of the 60° injector is larger than
the 150° one (1.65% versus 1.02%). For the 150° case, the increase was mostly due to the
hotter near-wall regions, but wall wetting may not be significantly addressed since the
spray was targeting only the edge of the piston. The improvement of the 60° case was
associated with both fewer cold regions and better evaporation (reduced fuel film mass)
because the spray can evaporate off the hot coating surface when the spray impinges on the
piston in the 60° case. Although the TBC helps the evaporation and improves the
combustion efficiency at SOI of -330, Figure 25 shows that the optimal SOI timing in terms
65
of combustion efficiency is about -240 aTDC, which is to say that the TBC helped
addressed wall wetting to some extent, but the longer penetration length and hot air in the
cylinder are more essential in terms of spray breakup and reduced wall wetting. The
findings from other researchers also support this theory [102].
Figure 28: Combustion efficiency with two injection angles (150° and 60°)
Figure 29 shows the estimated peak cylinder temperature and emissions with
different coated pistons and the metal baseline cases. The UHC and CO emissions trends
agree well with the trend in combustion efficiency discussed above as well as the trends in
the previous section. Both the UHC and CO emissions decrease with TBC cases due to an
increased piston surface temperature, and the NOx emissions remain at a very low level.
66
Figure 29: Emissions and peak cylinder temperature vs. SOI timing for the different coated and metal baseline pistons, CA50 = 6.8 deg aTDC
67
3.4.3 The intake and exhaust temperatures
The intake temperature is shown in Figure 30 (a). The coating decreases the intake
temperature requirement, and the thicker coating results in lower intake temperature while
maintaining the same combustion phasing.
Figure 30: The intake temperature requirements and the measured exhaust temperatures vs. SOI timing for the different coated and metal baseline pistons, CA50 = 6.8 deg aTDC
The subset of data for the different injector included angles has been chosen to
evaluate the effects of spray/surface interaction on intake temperature, and the results are
shown in Figure 31. Due to more spray/coating surface interaction, the reduction in intake
68
temperature of 60° injector is almost twice as large as the 150° injector (19K versus 10K).
This is presumably because the fuel spray was directed at the hotter piston surface so that
the evaporation process absorbs some amount of heat from the coating surface instead of
the air/relatively cold liner; thus, less heat was needed from the intake charge to achieve a
similar IVC temperature. The trends in both Figure 28 and Figure 31 correlate very well to
each other, and it can be concluded that the spray/TBC impingement would amplify any
effect that was caused by switching from cold metal piston surface to hot coated surface in
terms of the fuel evaporation.
Figure 31: Intake temperature with two injection angles (150° and 60°)
The exhaust temperatures are shown in Figure 30(b). The exhaust temperatures for
the TBC cases were expected to be higher than the metal baseline cases due to the lower
heat transfer losses from the better-insulated combustion chamber. Some of the would-be
69
heat transfer losses were converted to work, which is why the thermal efficiency increased,
and some of that saved energy is rejected to the exhaust. However, there is no observable
effect of the TBCs on the exhaust gas temperature from this experimental study, possibly
due to the compression ratio differences or possibly due to experimental inaccuracies in
measuring the exhaust temperature.
Since TBCs can alter the mixture’s thermodynamic state by influencing the intake
requirements and compression heat transfer, and since the effects of TBCs and their
independent properties such as thermal conductivity, volumetric heat capacity, and coating
thickness on HCCI have not been systematically explored, it is necessary to use the
modeling techniques to perform a comprehensive study on the effects of TBCs on HCCI
from a fundamental thermodynamic perspective. Thus, a zero-dimensional thermodynamic
model was established to perform a systematic computational study of the effects of TBC
on HCCI. A detailed description of the model is provided in the next chapter.
70
CHAPTER 4. MODELING SETUP AND VALIDATION
4.1 0-D thermodynamic engine cycle modeling
A zero-dimensional, single-zone thermodynamic model was established based on the
experimental research engine described above to simulate the effects of TBCs on LTC
more systematically. The model was established and validated based on the engine
mentioned in the previous section. The initial state of the mixture is given as an initial
condition, and the model solves for the in-cylinder composition and states for the next step
based on mass flow, energy conservation, and the chamber volume change due to the piston
motion. The time resolution used throughout this work is 0.1 crank angle degrees (CAD).
4.1.1 Conservation of mass & flow characterization
The mass conservation equation includes the mass flows into the cylinder during the intake
stroke, �̇�𝑖𝑛𝑡, and the injection event, �̇�𝑓𝑢𝑒𝑙. Mass leaves the cylinder during the exhaust
stroke, �̇�𝑒𝑥ℎ, or due to blowby losses, �̇�𝑏𝑏. The subscript 𝑖 indicates the instantaneous
time step. The mass conservation equation is given as follow:
�̇�𝑐𝑦𝑙,𝑖 = �̇�𝑖𝑛𝑡,𝑖 + �̇�𝑓𝑢𝑒𝑙,𝑖 + �̇�𝑒𝑥ℎ,𝑖 + �̇�𝑏𝑏,𝑖 (7)
where the intake, exhaust, and blowby flows are derived from 1D isentropic flow analysis
through an orifice [1]. Equation 8 describes the unchoked flow, where 𝑃𝑑
𝑃𝑢> (
2
𝛾+1)
𝛾
𝛾−1 .
Otherwise, Equation 9 should be applied for the choked conditions.
�̇�𝑢𝑛𝑐ℎ𝑜𝑘𝑒𝑑 = 𝐶𝑑 ∗ 𝐴𝑟𝑒𝑎 ∗ 𝑃𝑢 (
𝑃𝑑
𝑃𝑢)
1𝛾 √
2𝛾 ∗1 − (
𝑃𝑑
𝑃𝑢)
𝛾−1𝛾
(𝛾 − 1) ∗ 𝑅 ∗ 𝑇𝑢
(8)
71
�̇�𝑐ℎ𝑜𝑘𝑒𝑑 = 𝐶𝑑 ∗ 𝐴𝑟𝑒𝑎 ∗ 𝑃𝑢
√2𝛾 ∗
(1
𝛾 + 1)
𝛾+1𝛾−1
(𝛾 − 1) ∗ 𝑅 ∗ 𝑇𝑢
(9)
where 𝐶𝑑 is the discharge coefficient, 𝐴 is the minimum of the curtain area or the valve
area, 𝑃𝑢 and 𝑃𝑑 are the upstream and downstream pressures that were determined by the
flow direction (e.g., if the working fluid flows through the intake port into the cylinder, the
upstream pressure 𝑃𝑢 would be the intake manifold pressure and the downstream pressure
𝑃𝑑 would be the pressure inside of the cylinder). The intake and exhaust conditions are
considered stagnation conditions, and the cylinder condition changes through the cycle.
Since pressure wave travels as the speed of the sound, the cylinder pressure is assumed to
be uniform in the combustion chamber.
Since this investigation is mostly related to the features of HCCI combustion, it is
not necessary to apply a spray model. Thus, the mixture is considered as homogeneous as
soon as the injection occurs.
4.1.2 Energy balance
According to the first law of thermodynamics, the energy balance for an open system is
shown in Equation 10:
�̇�𝑖 = −�̇�𝑖 − �̇�ℎ𝑡,𝑖 − �̇�𝑐𝑟,𝑖 + ∑ �̇�𝑖𝑛,𝑖𝑗 ∗ ℎ𝑖𝑛,𝑖𝑗 − ∑ �̇�𝑜𝑢𝑡,𝑖𝑗 ∗ ℎ𝑜𝑢𝑡,𝑖𝑗 (10)
where �̇� is the change in the internal energy, �̇� is the thermodynamic work extraction rate
that is derived from 𝑝�̇�. Equation 11 shows the mathematical definition of the convective
heat transfer rate �̇�ℎ𝑡, which uses Chang’s heat transfer correlations for HCCI combustion
72
[84], where ℎ𝑐𝑜𝑛𝑣 is the convective heat transfer coefficient determined from Chang’s
correlation, 𝑇𝑔𝑎𝑠 is the bulk gas temperature, and 𝑇𝑠𝑢𝑟𝑓𝑎𝑐𝑒 is the chamber surface
temperature.
�̇�ℎ𝑡,𝑖 = 𝐴 ∗ ℎ𝑐𝑜𝑛𝑣 ∗ (𝑇𝑔𝑎𝑠 − 𝑇𝑠𝑢𝑟𝑓𝑎𝑐𝑒) (11)
�̇�𝑐𝑟,𝑖 = �̇�𝑐𝑟,𝑖 ∗ ℎ𝑖,𝑐𝑟/𝑏𝑢𝑙𝑘 (12)
Equation 12 shows the modeling of the rate of crevice flow �̇�𝑐𝑟, where �̇�𝑐𝑟 is the
rate of mass flow into and out of the crevice volume due to the pressure difference and ℎ
is either the enthalpy of the cylinder bulk gas or the gas in the crevice depending on the
flow direction [85]. The subscript 𝑗 in the mass flow terms and enthalpy terms in Equation
10 indicates different flow types that were shown in Equation 7. Then, the specific internal
energy of formation and the specific volume at each step can be determined as the forms
below, where 𝑉𝑖 is the chamber volume at each step.
𝑢𝑖 =∑ �̇�𝑖
𝑛𝑖=1
𝑚𝑐𝑦𝑙,𝑖 (13)
𝑣𝑖 =𝑉𝑖
𝑚𝑐𝑦𝑙,𝑖 (14)
4.1.3 Thermodynamic properties of the working fluid
In the simulation, the working fluid is assumed to be an ideal gas that contains six species:
fuel, oxygen, nitrogen, CO2, argon, and H2O. Since experimental results showed that the
TBCs have no observable impacts on the rate and duration of the heat release process when
matching the combustion phasing and fueling and it has been documented in different
studies that the reduced intake temperature could compensate for the increased wall
73
temperature to match combustion phasing [86][87], the combustion process uses a
prescribed mass fraction burned (MFB) curve from the experimental data with an adjusted
intake temperature, and from the prescribed MFB curve, the changes in species fractions
can be determined at each time step. There are two parameters that characterize the HCCI
combustion process that need to be predicted by the model: the ignition timing and the burn
rate. The ignition timing is represented as CA0, which is adjusted by altering the intake
temperature. The determination of CA0 follows the Livengood-Wu autoignition integral
shown in Equation 15, where 𝜏 is the ignition delay time in second, and the 𝑡𝐶𝐴0 is time
when the integral equals 1 (i.e., when the autoignition occurs).
∫1
𝜏
𝑡𝐶𝐴0
𝑡0
𝑑𝑡 = 1 (15)
The autoignition integral requires an ignition delay correlation, which is shown in
Equation 16. It was modified from He’s iso-octane correlation by changing the activation
energy and the preexponential constant to best fit the experimental results (since gasoline
was used in this experiment rather than isooctane in He’s work). In Equation 16, 𝑃𝑖 is the
instantaneous cylinder pressure in bar, 𝜙 is the equivalence ratio, 𝑥𝑂2is the fraction of
oxygen on a molar basis, R is universal gas constant in 𝑐𝑎𝑙 ∙ 𝐾−1 ∙ 𝑚𝑜𝑙𝑒−1, and 𝑇𝑖𝑠𝑒𝑛,𝑖 is
isentropic unburned gas temperature proposed by Lawler et al. that was derived from the
isentropic ideal gas relationship. It provides a thermodynamic relation for the hottest
possible temperature (i.e. the adiabatic core) prior to autoignition. Equation 17 shows the
mathematical determination of the isentropic unburned temperature, where 𝑇𝐼𝑉𝐶 and 𝑃𝐼𝑉𝐶
are the temperature and pressure at IVC, respectively, and 𝛾𝑖 is the fluid’s ratio of the
74
specific heats. More introduction related to the isentropic temperature can be found in
[92][93].
𝜏 = 4.4 ∙ 10−7𝑃𝑖−1.05𝜙−0.77𝑥𝑜2
−1.41𝑒𝑥𝑝 (29970
𝑅𝑇𝑖𝑠𝑒𝑛,𝑖) (16)
𝑇𝑖𝑠𝑒𝑛,𝑖 = 𝑇𝐼𝑉𝐶 ∗ (𝑃𝑖
𝑃𝐼𝑉𝐶)
1−1𝛾𝑖
(17)
For the burn rate, a Wiebe function is a typical approach for modeling the burn rate
[101]; however, the heat release process varies engine-to-engine based on a variety of
factors. Since there is a vast amount of experimental data available for the modeled engine,
which primarily serves as a map of different heat release profiles associated with different
operating conditions, an interpolation-style combustion model is adopted to best reproduce
the combustion event on this engine platform. The previous results showed that the burn
rate was not significantly affected by the TBCs. Furthermore, previous work from Zhou et
al. demonstrated that the HCCI heat release process could be accurately defined by CA0
and equivalence ratio (𝜙) [91]. This is to say that as long as CA0 and 𝜙 are predetermined,
a valid MFB curve can be interpolated from the experimental data. Therefore, the
autoignition integral and ignition delay correlation in Equation 15 and 16were used to
determine CA0. Then, based on CA0 and 𝜙, a MFB curve was interpolated from the
experimental data set such that the model can still be considered validated and it will be
predictive in relation to the TBCs effects on combustion.
The combustion efficiency in HCCI is usually correlated with the peak cylinder
temperature in 0-1D modeling studies, which has been adopted and reported in the
75
literature [94][95]. However, the TBCs can affect the cold near-wall regions, which
contribute to incomplete combustion, thereby increasing combustion efficiency without a
significant effect on the peak bulk temperature. Therefore, the approach of correlating
combustion efficiency with peak bulk temperature is not viable with TBCs. As a result,
this study only focuses on the indicated thermal efficiency, which is independent of the
combustion efficiency (based on the efficiency definitions found in Heywood [1]). For the
trends in combustion efficiency, the experimental data in the previous section show how
TBCs affect combustion efficiency in LTC.
After defining the gas composition, the mixture’s thermodynamic properties are
determined through a Cantera-style subroutine that uses the NASA 9-coefficient
polynomial parameterization for each species. According to the properties determined from
Equations 13 and 14, the bulk gas temperature and pressure can be solved from the ideal
gas law. Then, with the new pressure and temperature for the next step (𝑖 + 1), the mass
and energy flows can be determined sequentially through the entire engine cycle.
4.2 1D transient heat transfer modeling
To determine how the coating properties affect the thermodynamic performance of the
engine cycle, a one-dimensional transient finite element heat transfer model was
established to simulate the resultant surface temperature and its effects on the
thermodynamics for different coating properties.
Figure 32 is a schematic of the 1D transient heat transfer model with boundary
conditions, which was inspired by the study from Güralp et al. [88]. The model includes
two layers, where the TBC layer is shown in red and subscripted by “c.” Below that is the
76
metal layer, which is shown in blue and subscripted with “M.” The horizontal axis is the
time domain through the engine cycle from -360 CAD to 360 CAD aTDC at a resolution
of 0.1 CAD (TDC is at CAD = 0). The depth/distance domain is on the vertical axis.
Figure 32: One-dimensional transient finite element heat transfer schematic
The boundary condition at the top surface uses the convective heat transfer from
the bulk gas into the wall surface and then conduction occurs through the coating. Equation
18 shows the derivation of the top surface boundary condition:
�̇� = �̇�ℎ𝑡,𝑖𝑛 − �̇�𝑜𝑢𝑡 = ℎ𝐴(𝑇𝑔𝑎𝑠 − 𝑇𝑛𝑥) − 𝑘𝑐𝐴𝜕𝑇
𝜕𝑥 (18)
�̇�ℎ𝑡,𝑖𝑛 is the heat transfer rate from the bulk gas, and �̇�𝑜𝑢𝑡 is the heat conduction
rate to the sub-layer elements. On the far left-hand side, the first term, �̇�, is the rate of
77
change of internal energy of the top row of elements: �̇� = 𝑚𝑐𝑝∆𝑇/∆𝑡. Substituting this
into Equation 18, the temperature profile for the first row can be determined as follow:
𝑇𝑛𝑥𝑖+1 = 𝑇𝑛𝑥
𝑖 +2∆𝑡{ℎ(𝑇𝑔𝑎𝑠
𝑖 − 𝑇𝑛𝑥𝑖 ) − 𝑘𝑐(𝑇𝑛𝑥
𝑖 − 𝑇𝑛𝑥−1𝑖 )}
𝜌𝑐𝑐𝑝,𝑐∆𝑥𝑐2
(19)
where ℎ is the convective heat transfer coefficient that was determined from the Chang
heat transfer correlation for HCCI combustion [84], 𝑘 is the thermal conductivity, 𝑐𝑝 is the
specific heat capacity, and 𝜌 is the density of the substance.
The boundary condition at the bottom layer, where 𝑗 = 1, is assumed to be a
forced convection heat transfer condition. In this study, TBCs will be simulated on the
piston, head, and valves. The back of the piston is cooled by an oil squirter whereas the
back of the cylinder head is cooled by coolant. The valves themselves have unique heat
transfer pathways including conduction through the valve seat or convection by the
surrounding flow during gas exchange. As an example of how the backside boundary
condition’s convective heat transfer coefficients are determined, the piston will be
discussed first. Since the oil temperature and pressure are maintained constant, the oil
cooling jet is relatively repeatable from cycle-to-cycle. Therefore, it is safe to assume that
the convective heat transfer coefficient for the oil cooling jet, ℎ𝑜𝑖𝑙 , is a constant value
during steady-state operation. This value is determined experimentally by using the
measured surface temperature of the metal piston and an effective heat conduction
thickness determined from a CAD model of the piston. For this engine architecture and
operating conditions, the ℎ𝑜𝑖𝑙 is determined to be 1335 W/m2K based on the best matching
of measured metal surface temperature from previous experimental results [86]. This value
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is similar to the value that Assanis et al. used in their engine cycle simulation [89]. The
effective thickness of the piston is 16.4 mm, and for convenience, the cooling area uses the
bore area. Note that this coefficient would change with oil pressure, engine speed, oil
gallery geometry, and other factors related to backside piston cooling with engine oil. With
the same methodology, the convection coefficient of the backside of the firedeck is
determined to be 1880 W/m2K based on measured head temperatures. Due to the lack of
measured data of valves’ surface temperature, the backside convective coefficient for the
vales is assumed to be the same as the firedeck surface. In the future, additional
experimental data or computational fluid dynamics modeling would help determine the
convective heat transfer coefficient for the intake and exhaust valves.
Figure 33: Determination of oil cooling convective heat transfer coefficient for the backside boundary condition
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After assigning the top and bottom boundary conditions, the remaining layers use
the 1D transient heat conduction equation shown in Equation 20:
𝜕𝑇
𝜕𝑡=
𝑘
𝜌𝑐𝑝×
𝜕2𝑇
𝜕𝑥2 (20)
Since the two materials have different properties, the heat flux at the contact surface
on both sides must equal (i.e., the heat conduction rate from 𝑛𝑐+1 to 𝑛𝑐 is the same as that
of 𝑛𝑐 to 𝑛𝑐−1), which serves as another boundary condition.
Once the surface temperature has been determined, it can be substituted back into
Equation 11 and thermodynamic energy flow can be re-simulated to calculate the new
cylinder temperature and pressure. Then, using that new gas temperature as the new topside
boundary conditions to the 1D transient heat conduction solver for the TBC layer, a new
surface temperature can be determined. The process iterates until the error converges,
which requires between 3 to 20 iterations depending on the coating properties.
4.3 Model validation
The model was validated against experimental data in two steps. First, the model
performance was compared with the metal baseline at different loads. Then, the model
performance was examined by validating against experimental data for the TBC case with
a 2 mm TBC-coated piston. During the validation process, there are three main metrics to
evaluate the model’s fidelity: the agreement of the cylinder pressure, the mass flow rate of
air, and the gross indicated mean effective pressure (IMEPg). The air mass flow rate and
pressure at IVC are two significant indicators to justify the trapped mass, composition, and
the thermodynamic state at the beginning of the closed cycle. Then, the cylinder pressure
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values after compression and during combustion are good indicators for tuning the
compression ratio, blowby mass, and crevice flow. Most importantly, IMEPg is the metric
to evaluate the model’s accuracy at predicting the engine’s efficiency and power.
4.3.1 Validation against the experimental metal baseline cases
The purpose of metal case validation is to examine the model’s capability of precisely
capturing the thermodynamics, conservation of mass, and the energy balance. In this
baseline validation process, the model implements the exact same amount of fuel measured
from the experimental data, as well as the other operating conditions such as the engine
speed, intake and exhaust pressures, the injection strategies, etc.
The engine was operated at a constant speed of 1200 rpm, wide open throttle (WOT)
and without external EGR. The fuel was delivered through a port fuel injection (PFI)
system to the intake port at -120 deg aTDC. The fueling rate varied from 5.6 mg/cycle to
11 mg/cycle, which corresponded to an equivalence ratio of 0.25 to 0.46. Additional
information about the operating conditions can be found in Table 6. Two sets of
comparison at loads of 2.7 bar and 4.6 bar IMEPg were chosen and are shown in Figure 34.
It can be seen that the simulated pressure traces are very close to the experimental data.
Although there is a very small discrepancy in the peak pressure, the agreement between the
model and experiments is very good, which provides confidence in the ability of the model
to accurately predict the thermodynamics of the engine cycle.
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Figure 34: Cylinder pressure trace of metal case validation at loads of 2.7 and 4.6 bar IMEPg
Detailed numerical comparisons of the mass flow rate of air and IMEPg at different
loads are listed in Table 7. The errors used the absolute error, where positive error means
the model predicts a higher value than experimental data. It can be observed that the model
has a very close prediction on both IMEPg and mass flow rate of air. Compared with the
experimental data, the errors were fairly small and were consistently less than 0.5% for
most cases. The surface temperature of the metal piston is shown too, and it will be
compared with the coated pistons in the following section.
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Table 7: Evaluation of critical validation metrics for the metal baseline cases
𝐼𝑀𝐸𝑃𝑔,𝑒𝑥𝑝 [bar] 2.34 2.73 3.00 3.40 3.72 4.00 4.28 4.60
𝐼𝑀𝐸𝑃𝑔,𝑠𝑖𝑚 [bar] 2.32 2.73 3.01 3.41 3.72 4.00 4.28 4.61
𝐼𝑀𝐸𝑃𝑔,𝐸𝑟𝑟𝑜𝑟 [%] -0.75 -0.03 0.35 0.17 0.09 0.11 -0.05 0.22
�̇�𝑎𝑖𝑟,𝑒𝑥𝑝 [g/cyc] 0.340 0.342 0.344 0.349 0.352 0.353 0.355 0.356
�̇�𝑎𝑖𝑟,𝑠𝑖𝑚 [g/cyc] 0.341 0.343 0.344 0.349 0.351 0.353 0.354 0.356
�̇�𝑎𝑖𝑟,𝐸𝑟𝑟𝑜𝑟 [%] 0.16 0.15 -0.08 -0.11 -0.34 0.11 -0.15 0.04
𝑇 𝑠𝑢𝑟𝑓𝑎𝑐𝑒,𝑎𝑣𝑔 [K] 416 419 421 422 423 424 425 427
4.3.2 Validation against the experimental TBC cases
With the metal baseline validation concluded, the examination of the transient heat transfer
model can be performed next by validating the model with the experimental TBC results.
Instead of only using the metal layer, the TBC layer is enabled in the 1D transient heat
conduction model with material properties and a thickness value that correspond to the
experimentally tested TBC. The 1D transient heat transfer model solves the surface’s and
sublayer’s temperatures and iteratively integrates with the thermodynamic cycle simulation.
The primary validation metrics are still cylinder pressure, air mass flow rate, and
IMEPg. The ideal validation of the transient heat transfer model would be to compare the
model predictions of the TBC surface temperature with experimental measurements.
However, due to the significant challenge associated with fast response surface temperature
measurements, especially on the surface of TBCs, a viable approach to evaluate the
model’s performance is to instead compare the metrics that would change as a consequence
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of the high surface temperature of the TBC, using metrics that can be easily measured. First,
the higher surface temperature reduces heat transfer losses which cause higher bulk gas
temperatures, and eventually, higher cylinder pressure and IMEP; additionally, the higher
surface temperature heats the incoming intake charge (i.e., charge heating), which affects
the air mass flow rate. Thus, these three indicators (pressure, IMEPg, and air mass flow
rate) still constitute a reasonable assessment of the model’s performance for TBCs. Figure
35 shows the pressure traces for the 2.6 bar and 4.6 bar IMEPg cases. Note that the peak
pressure of the 4.6 bar case is slightly higher than that of the metal baseline, which is mostly
caused by the advanced combustion phasing. Apart from that, the simulated cylinder
pressure including the effects of TBCs is as accurate as the metal baseline.
Table 8 shows the errors between the measured and predicted IMEPg and air
mass flow rate, as well as the model’s prediction of the piston surface temperatures at
different loads. Similar to the metal case validation, the errors are less than 0.5% for all
TBC cases, which provides confidence in the model’s ability to capture the effects of the
TBCs in advanced combustion. Since the TBC surface temperatures include more
variation over the engine cycle, both the average and the peak temperatures are shown in
Table 8. Compared with the temperatures in Table 7, the temperatures of the coated
pistons are generally 40 to 60 K higher than the metal pistons. In addition to the tabulated
results, the gas temperature for the 4.6 bar IMEPg load case and the coating temperature
of the first 20 layers (25 microns per layer) are shown in Figure 36. It can be seen that the
surface temperature changes dynamically throughout the cycle, where it is lower during
the intake and reaches a peak during combustion. The temperature swing (i.e., the
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difference between the lowest and the highest TBC surface temperatures) is about 50 K.
A more comprehensive investigation is given in the results and discussion section below.
Table 8: Evaluation of the critical validation metrics for the TBC cases
𝐼𝑀𝐸𝑃𝑔,𝑒𝑥𝑝 [bar] 1.94 2.59 2.94 3.43 3.95 4.62
𝐼𝑀𝐸𝑃𝑔,𝑠𝑖𝑚 [bar] 1.95 2.59 2.95 3.43 3.95 4.62
𝐼𝑀𝐸𝑃𝑔,𝐸𝑟𝑟𝑜𝑟 [%] 0.38 -0.03 0.46 0.07 -0.12 0.02
�̇�𝑎𝑖𝑟,𝑒𝑥𝑝 [g/cyc] 0.334 0.337 0.342 0.346 0.350 0.354
�̇�𝑎𝑖𝑟,𝑠𝑖𝑚 [g/cyc] 0.333 0.337 0.342 0.346 0.350 0.355
�̇�𝑎𝑖𝑟,𝐸𝑟𝑟𝑜𝑟 [%] -0.19 -0.01 -0.07 0.01 -0.05 0.19
𝑇 𝑠𝑢𝑟𝑓𝑎𝑐𝑒,𝑎𝑣𝑔 [K] 455 464 467 470 474 482
𝑇 𝑠𝑢𝑟𝑓𝑎𝑐𝑒,𝑚𝑎𝑥 [K] 486 499 502 505 510 519
Based on the good agreement between the experimental data and the simulation
results, it can be concluded that the model is capable of precisely capturing the working
fluid’s thermodynamic state and properties, as well as the coating’s temperature and its
impact on the engine performance. Therefore, a parametric study was conducted to
investigate the effects of TBC on LTC exhaust temperatures presented in the next sections.
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Figure 35: Cylinder pressure trace for the 2mm TBC cases at loads of 2.6 bar and 4.6 bar IMEPg providing validation of the model’s ability to capture the thermodynamics as well as the
performance of the TBC
Figure 36: Coating node temperatures for the first 20 nodes with a Δx spacing of 25 microns between nodes (left) and bulk gas temperatures (right) over the engine cycle for the 4.6 bar
IMEPg load case
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CHAPTER 5. THICK THERMAL BARRIER COATINGS FOR HCCI -
MODELING RESULTS AND DISCUSSIONS
5.1 Objective and simulation cases setup
There are three essential coating properties from both a material selection and coating
manufacturing perspective: the thermal conductivity (𝑘), the coating thickness, and the
volumetric heat capacity (𝑠), which is the combination of the density and the specific heat
(𝑠 = 𝜌 ∗ 𝑐𝑝).
To systematically evaluate each TBC property’s effects on HCCI, simulations were
conducted by sweeping each parameter individually while maintaining the other two as
constant. This individual property setup is to better understand how each property affects
coating performance, and the overall coating recommendation for HCCI will be provided
at the end of this chapter. The engine environment mimics the operating conditions from
previous experimental data, and six load conditions were adopted based on the cases shown
in Table 8. The swept parameters are shown in Table 9, where the thickness limit is the
thickness that results in impractically low intake temperatures, which will be discussed in
the thickness section. The range of values in the matrix for each material property was
selected based on a realistic range to survive an engine environment [90]. For example, the
thickness ranges from 0.2 mm to 6mm, where 0.2mm is a typical value for thin temperature
swing TBC application to provide sufficient insulation while avoiding charge heating, and
6mm is somewhat thicker than previously tested thick TBCs but offers significantly better
thermal insulation. The thermal conductivity was swept from 0.3 W/mK to 10 W/mK,
where 0.3 W/mK is the lowest possible value that state-of-the-art coatings can achieve by
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either introducing structured porosity or natively low-k materials. On the high end of the
conductivity range, 10 W/mK is a value that provides insufficient thermal insulation and
starts to approach the value of steel (𝑘 of steel is ~40 W/mK). Typically, the volumetric
heat capacity for plasma-sprayed ceramic material would be in the range of 0.5 – 3 MJ/m3K
[90], where the lower end could be achieved by increasing the porosity. However, the
amount of porosity is limited by coating strength and reliability. Recent research has
proposed a novel metallic hollow microsphere structure that can significantly reduce the
volumetric heat capacity [100], but further development is needed to improve the durability
of this approach in the harsh engine environment. In this volumetric heat capacity sweep,
the lower bound is chosen as an ideal scenario of 0.2 MJ/m3K, which is slightly beyond the
range of realistic values. It is still useful to simulate these values because it provides an
assessment of the possible gains that could be achieved with the idealized thermophysical
properties to determine if it is worth pursuing a lower heat capacity approach. For
reference, the properties of aluminum are also provided in the last column of Table 9. The
general operating conditions are shown in Table 10.
Table 9: Investigated cases and sweep configurations
Sweeps Property
Thickness Sweep
Thermal Conductivity
Sweep
Volumetric Heat Capacity Sweep Aluminum
Thickness [mm] 0.2 - 6 0.2 Thickness Limit -
𝑘 [W/mK] 0.3 0.3 - 10 0.3 240
𝑠 [MJ/m3K] 0.97 0.97 0.2 – 5 2.61
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Table 10: Operating conditions
Engine Speed [rpm] 1200
Fuel Type 87-AKI Gasoline
Fuel Delivery PFI
Injection Timing [deg aTDC] -120 (21 degrees after IVC)
Intake Pressure [bar] 1
Exhaust Pressure [bar] 1.1
Oil Temperature [K] 358
Coolant Temperature [K] 368
EGR [%] 0
Intake Temperature [K] Varied to match CA0
IMEPg [bar] 2.0; 2.5; 3.0; 3.5; 4.0; 4.5
Equivalence ratio 𝜙 0.19-0.42 (Varied to match load)
5.2 The effects of thermal conductivity - 𝒌
In this section, the TBC’s thermal conductivity, 𝑘 , was swept while maintaining the
thickness at 200 microns and the volumetric heat capacity as ~1 MJ/m3K, which is a typical
value for plasma sprayed TBCs. The coating covers the piston crown, engine head facing
the combustion chamber, and valves. This coverage provides the best insulation that could
be applied to a practical in-cylinder situation without impacting sealing and lubrication (by
coating the liner). Figure 37 shows the coating surface temperature (top) and the bulk gas
temperature (bottom) throughout the engine cycle.
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It can be seen in Figure 37(a) that the TBC’s 𝑘 has a significant impact on the
surface temperature. As the thermal conductivity decreases, the overall average surface
temperature increases due to a reduction in heat transfer losses (shown explicitly in Figure
39 below). Additionally, the temperature swing, which is the temperature difference
between the peak and minimum surface temperatures, is significantly increased as 𝑘
decreases. This temperature swing effect is very important for the conventional combustion
modes because it maintains the wall temperature at a relatively low level during the intake
stroke, which prevents intake charge heating and loss of power density. The goal of this
work is to evaluate the impacts of TBCs on LTC using the coupled 0D thermodynamic
engine model and 1D heat conduction model. Therefore, Figure 37(b) shows the impact of
the TBC conductivity sweep on the bulk gas temperatures.
By examining the bulk gas temperature in Figure 37(b), it can be seen that despite
the change of coating surface temperature, the bulk gas temperatures at the same load
condition were very similar with a difference in the peak temperature of only ~25K. The
three zoom-ins in Figure 37(b) show the differences in bulk temperature at three different
times during the cycle: at IVC, just before ignition, and the peak temperatures. The
temperatures at IVC are lower with decreasing conductivity. This result is caused by two
factors. First, the lower conductivity coatings have elevated surface temperatures and a
larger temperature swing (shown in Figure 37(a)), which reduces heat transfer during the
compression stroke, and second, LTC must reach a given temperature threshold to achieve
autoignition. Therefore, due to the lower heat transfer losses during compression, the IVC
temperature is actually slightly lower with the TBCs than the metal piston. Based on this
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lower IVC temperature, the charge density is actually slightly higher with the TBCs than
the metal piston. This trend is counter to the conventional combustion modes, and these
results indicate that rather causing a volumetric efficiency penalty, TBCs cause a slight
increase in charge density in LTC.
Figure 37: (a) Coating surface temperature and (b) bulk gas temperature vs. crank angle at a load of 3.5 bar IMEPg over the 𝑘 sweep
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As a result of the increased charge density, the mass flow rate with the TBCs is
slightly higher, and the charge is slightly leaner than the metal piston. Due to the slight
reduction in equivalence ratio with the TBCs, the temperature to reach ignition must
increase slightly, shown in the top left zoom-in in Figure 37(b). An additional consequence
of the changing equivalence ratio is that the peak temperature is slightly lower after
combustion with the TBCs, shown in the top right zoom-in in Figure 37(b). Lowering the
conductivity amplifies these effects in comparison to the metal piston. This result is due to
the requirement of premixed autoignition-driven combustion in LTC, which results in
differing effects of TBCs on LTC compared to the conventional combustion modes.
Figure 38 shows the relationship between thermal conductivity and temperature
swing. The swing increases exponentially as 𝑘 decreases. These results show that the most
optimistic temperature swing based on the estimates of current realistic materials is ~100
K at this load and speed condition. It is important to note that the temperature swing is also
a function of load and speed because the engine conditions affect the heat flux into the
coating increases with load.
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Figure 38: Temperature swing vs. thermal conductivity, 𝑘
As a result of the temperature swing and the elevated temperature during
compression, expansion, and exhaust, the heat transfer losses are reduced with TBCs.
Figure 39(a) shows the heat transfer losses decrease as 𝑘 decreases. The percent reduction
is higher at lower loads (2.4 percentage points at 2 bar versus 1.7 percentage points at 4.5
bar), which is because the heat transfer losses constitute a larger percent at lower loads. As
a result of the lower heat transfer losses, the gross indicated thermal efficiency increases,
as shown in Figure 39(b). The efficiency increase with lower conductivity is mostly caused
by the reduction in heat transfer losses; however, the lower equivalence ratio with the TBCs
due to the improved charge density to maintain the same load (𝜙 reduced from 0.35 to 0.34)
is also partially responsible for the improved efficiency through the thermodynamic 𝛾
effect. Overall, even the most optimistic 𝑘 values for realistic TBC materials only improves
the efficiency by ~1 percentage point.
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Figure 39: (a) Heat transfer losses and (b) gross indicated thermal efficiency vs. thermal conductivity, 𝑘
The main objective of applying TBCs is increased efficiency. However, in LTC,
there are other anticipated benefits, including a reduction in the required intake
temperatures, which are currently a production challenge. Since the heat transfer losses are
reduced during the compression stroke, and there is some charge heating during the intake
stroke with the slightly higher surface temperature with TBCs, the intake temperature
requirement to achieve autoignition in LTC reduces with TBCs, as shown in Figure 40.
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The trend of required intake temperature versus 𝑘 at different loads compared to the dashed
metal reference lines shows that the potential intake temperature reduction is modest (~5
K) and only occurs for the lowest conductivity coatings.
Figure 40: Intake temperature vs. thermal conductivity, 𝑘
By comparing the metal baseline with the lowest 𝑘 case, it can be inferred that
about 50% of the recovered heat transfer losses are converted to useful work, while the
remaining 50% shifted to exhaust losses. In addition to improved efficiency and reduced
intake temperatures, a hypothesized benefit of TBCs in LTC is increased exhaust
temperatures due to shifting from heat transfer losses to exhaust losses. Higher exhaust
temperatures and enthalpies would benefit aftertreatment and turbocharging, which are
current challenges in LTC. However, as shown in Figure 41, the bulk gas temperatures at
EVO are surprisingly consistent throughout the sweep, and this trend is independent of
load. This finding was also observed experimentally in the previous section, but was
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previously unexplained. The coupled thermodynamic-TBC model helps to illuminate the
factors that cause this unintuitive phenomenon. With low conductivity TBCs, the intake
temperature is ~6K lower. Then, as shown in Figure 37(b) and discussed above, the
temperature differences before ignition are within 3 degrees, where the lowest 𝑘 case has
the highest ignition temperature because it is slightly leaner. However, the leanest mixture
also results in the lowest peak temperature after combustion (by ~25 K). Although the
lowest conductivity case starts the expansion process from the lowest temperature, the
temperatures at EVO are almost exactly constant due to the reduced heat transfer losses
during expansion and the slightly higher ratio of specific heats of the lowest conductivity
(leanest) case. Overall, this finding was unintuitive and due to the nature of LTC where the
kinetics-driven autoignition heavily relies on the mixture’s thermodynamic state.
Figure 41: Temperature at EVO vs. thermal conductivity, 𝑘
From a tailpipe perspective, this uniform EVO temperature does not necessarily
mean that the exhaust enthalpies are identical. Due to improved volumetric efficiency, the
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exhaust flow enthalpy increased by 0.8%. The simplified calculation for the relative change
in enthalpy at EVO is shown in Equation 21, where the subscript i represents the simulated
case, and mb represents the metal baseline. There is no pressure term because the
backpressures are constant, and the pressures at EVO are nearly identical.
𝛿𝐻𝐸𝑉𝑂 = (𝑚𝑖,𝑐𝑦𝑐𝑇𝑖,𝐸𝑉𝑂
𝑚𝑚𝑏,𝑐𝑦𝑐𝑇𝑚𝑏,𝐸𝑉𝑂− 1) ∗ 100% (21)
From a cycle energy distribution perspective, the energy portion of exhaust waste
is higher with the TBCs due to the higher temperature difference (∆𝑇) between the intake
and exhaust. In other words, the enthalpy delivered into the system is lower, while the
rejected enthalpy is higher.
5.3 The effect of TBC thickness at low-𝒌
The previous section only discussed the effects of 𝑘, based on a very thin layer. Since the
thermal conductivity is on a unit length basis, increasing the coating thickness would
amplify the insulating effects of low-𝑘 TBCs. This section investigates the impact of TBC
thickness with the lowest 𝑘 value from the previous section. The thickness was varied from
0.2 mm to 6 mm while holding 𝑘 at 0.3 W/m-K and volumetric heat capacity as ~1 MJ/m3K.
Similarly to the previous section, the coating only covers the piston crown, head, and valves,
but leaves the liner uncoated. Since the previous section found that the impact of TBCs is
similar at different load conditions, a representative load of 3.5 bar is selected for analysis
for most of the rest of this study.
Figure 42 is similar to Figure 37 where the surface temperatures are shown in the
top plot, and the bulk gas temperature is shown in the bottom plot. The surface temperatures
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in Figure 42(a) are entirely shifted up with the increased coating thickness, and this is
distinct from lowering conductivity, where the temperature mostly swings up during
combustion but remains relatively close to the metal baseline during the intake stroke. Also,
the magnitude of the swing decreases somewhat with increasing thickness due to the
reduction in heat flux.
Due to the elevated surface temperatures, the thick TBCs have substantial impacts
on the bulk gas temperature. First, the thickest TBCs require the lowest IVC temperature
because they have the lowest heat transfer during compression. Therefore, they can start
from a lower temperature at IVC and still reach their autoignition threshold. Due to their
lower IVC temperature (which implies higher charge density and lower equivalence ratio),
the thick TBC requires the highest temperature to start autoignition to compensate for their
lower equivalence ratio. The peak bulk temperatures have a difference of more than 100 K
due to the dilution effect.
The intake temperature requirement to achieve autoignition is shown in Figure 43.
It is seen that the reduction in intake temperature is significant as thickness increases due
to both charge heating during the intake stroke and less heat transfer during the
compression stroke. Note that although “charge heating” is occurring, it is only used to
help lower the intake temperature requirement. Since the IVC temperature is lower with
the thick TBCs, the charge heating that occurs in LTC does not reduce the density of the
incoming charge compared to the uncoated metal baseline (like it does for the conventional
combustion modes).
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At the load of 4.5 bar, the intake temperature falls below 320 K, which is an
approximate intake temperature that would occur in a production application. Since further
cooling the intake temperature is impractical, the thickness where the intake temperature
reaches 320 K is defined as the thickness limit, and this limit may change with different
fuels, engine specifications, and coating properties. Theoretically, this thickness ceiling
would be higher with fuels that have higher autoignition resistance (such as natural gas or
high octane gasoline) or high cooling potential (such as methanol or wet ethanol [97][98]).
In other words, these fuels would benefit more from the application of thick TBCs.
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Figure 42: (a) Coating surface temperature and (b) bulk gas temperature vs. crank angle at the load of 3.5 bar IMEPg through thickness sweep
As a result of this significantly reduced intake temperature, the volumetric
efficiency is improved by 7.6% to 10% (5 to 7 percentage points) before reaching the
thickness limit. Hence, the mixture is much leaner while maintaining the same load (at the
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load of 4.5 bar, 𝜙 decreased from 0.42 to 0.35). Plots of volumetric efficiency and
equivalence ratio are shown in the Appendix, Figure 86.
Figure 43: Intake temperature and 𝜙 vs. coating thickness
The heat transfer losses and thermal efficiency are shown in Figure 44, where the
plot is truncated at the thickness limit. With this low conductivity material, by increasing
the thickness from 0.2 mm to 3.2 mm, the heat transfer losses further reduce from 28.5%
to 21% (a 7.5 percentage point reduction). The efficiency increase is 3.4 percentage points,
which is slightly less than half of the recovered heat transfer losses. The thermal efficiency
benefited from a combined effect of lower heat transfer losses due to the coatings, and a
more favorable 𝛾 associated with the leaner mixture (0.6 percentage points can be
attributed to the leaner mixture alone). By subtracting the efficiency gain that can be
attributed to the leaner mixture, the results indicate that only about one-third of the
recovered heat transfer losses (2.8/7.5) were converted into work, while the remaining two-
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thirds shifted from heat transfer losses to exhaust losses. The previous 𝑘 section showed a
work conversion rate of nearly 50%. This discrepancy is due to that the fact that the low-𝑘
conductivity coating’s mechanism to reduce heat transfer was primarily through
temperature swing which reduces heat losses from the highest temperature portion of the
cycle around the combustion process. Minimizing heat transfer around combustion leaves
most of the expansion stroke to convert the saved energy into work. However, the thicker
coating’s mechanism to reduce heat transfer is by elevating the surface temperature
throughout the entire cycle. It is more difficult to convert any saved heat transfer losses
from the early compression stroke or late expansion stroke into useful work because the
full expansion stroke cannot be leveraged for work extraction. Other researchers have also
documented similar trends [8][99]. In other words, the most efficient way of transforming
the recovered heat into work is to prevent heat losses around TDC. Otherwise, the saved
heat transfer losses contribute more to exhaust enthalpy. However, in LTC, reducing the
heat losses in favor of increasing exhaust enthalpy is also desirable because greater exhaust
enthalpies will aid aftertreatment and turbocharging, which are current challenges for LTC.
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Figure 44: Heat transfer losses (red, left axis) & thermal efficiency (blue, right axis) vs. coating thickness at the load of 3.5 bar IMEP
5.4 The effect of volumetric heat capacity - 𝒔, with the thick, low-𝒌 TBC
Since it was shown that increased thickness provides significant efficiency benefits, the
coating thickness for the following results is chosen as the limit discussed in the previous
section (~3.2 mm), and the thermal conductivity was kept constant at 0.2 W/mK.
Figure 45(a) shows the surface temperature with the change of 𝑠 . The most
substantial effect of low volumetric heat capacity is that it increases the temperature swing
due to the reduced ability to store heat. In other words, it enables the surface temperature
to follow the bulk gas temperature more closely. It is seen that the temperature swing has
a very minimal effect on bulk gas temperature in Figure 45(b), where the ignition
temperatures are almost identical, and the difference at the peak is less than 5 K.
Interestingly, the peak temperature actually increases with lower 𝑠 due to a richer mixture,
which is contrary to the results in 𝑘 and thickness sweep. This reason for this opposite trend
is described in the following paragraph.
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Comparing the two coating surface temperatures in Figure 45(b), the high swing
coating (red dashed line) has a consistently lower surface temperature through the intake
and compression stroke, which results in less charge heating during the intake stroke and
more heat transfer losses during the compression stroke. This is desirable in the
conventional combustion modes to minimize charge heating, improve volumetric
efficiency, and increase power density. However, reducing the charge heating and
increasing the compression stroke heat transfer are not desirable in LTC because the
ignition threshold must be met and by reducing charge heating and increasing compression
stroke heat transfer losses, a higher intake temperature is required to achieve autoignition
(7.4 K variation over the sweep). This results in a lower volumetric efficiency and a less
favorable ratio of specific heats (i.e., a richer mixture).
Despite the intake and compression stroke drawbacks of the higher temperature
swing coating, the combustion and expansion stroke heat transfer is reduced, where the
recovered heat can be converted into work most effectively. The overall thermal efficiency
increased by 0.2 percentage points. This efficiency gain is small compared to the increased
thickness approach, which is because the reduced heat transfer losses and more favorable
mixture properties worked together to increase thermal efficiency when the conductivity
and thickness were swept; however, when the volumetric heat capacity is swept, the
mixture properties are partially counteracting the benefit of reduced heat transfer losses.
From the thickness section, Figure 44 was truncated at the thickness limit, which
was imposed by considering a realistic lower limit on the intake temperatures that would
be possible in a production setting. If not for this intake temperature-imposed thickness
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limit, thicker TBCs could be employed to further improve the thermal efficiency.
Coincidentally, the temperature swing not only increases efficiency but it also increases
the intake temperature requirement by 7.4K. Therefore, lower volumetric heat capacity
TBCs can be used to raise the thickness limit slightly and further improve efficiency. With
this in mind, an optimization routine is performed to determine the maximum potential
efficiency improvement.
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Figure 45: (a) Coating surface temperature and (b) bulk gas temperature vs. crank angle at the load condition of 3.5 bar IMEPg over the volumetric heat capacity sweep
Figure 46 shows the optimization routine and the engine performance
characteristics in terms of (a) efficiency, (b) intake temperature, (c) cumulative heat
transfer by separating the charge heating effect (on the negative side) and the heat transfer
losses (on the positive side), and (d) coating surface temperatures. Initially, a very thin
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coating is applied where minimizing 𝑘 (in blue) provides the most insulation. During that
process, the thermal efficiency increased by 0.8% with no tangible sign of charge heating.
The reduced heat transfer losses during the compression stroke were responsible for the
decreased intake temperature. Then, using that low-𝑘 TBC and increasing the thickness
shifted the surface temperature higher with a slightly reduced temperature swing (in red).
While thickness increases, the intake temperature at the highest load condition reaches the
lowest practical temperature for a production engine setting (320K), where the
corresponding thickness is defined as the thickness limit. Both intake charge heating and
less heat transfer during the compression stroke contribute to the lower intake temperature
requirement. As a result, the efficiency growth is truncated at the thickness limit, after
reaching an improvement of 4.1 percentage points compared to the metal baseline (3.3
percentage points compared to the thin, low-𝑘 TBC). At that thickness, reducing the
volumetric heat capacity (in purple) to a substantially lower value of 0.2 J/m3K increases
the temperature swing and leads to an additional 0.2 percentage point improvement to
efficiency. However, the intake temperature is increased due to the lower surface
temperature during the intake and compression stroke, which unleashes more room to
increase the thickness. Finally, by lowering volumetric heat capacity and thickening the
coating layer together (in green), the thermal efficiency reaches a 4.6 percentage points
improvement compared to the metal baseline, which is a 10% improvement on a relative
basis compared to the metal baseline. Figure 87 in the Appendix shows the sweep in order
of k, s, and then thickness. It can be seen that the efficiency gain from varying s has been
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increased compared to the trends in Figure 46, but increase thickness with low k and low s
material still shows the most potential for efficiency improvement.
Table 11 shows the other performance measures at the load level of 4.5 bar. This
load was selected instead of 3.5 bar because the temperature limit occurs at 4.5 bar. Note
that although the EVO temperature is lower than the metal baseline, the exhaust flow
enthalpy is 5.7% higher due to higher volumetric efficiency with the TBC. This
improvement is smaller than that of the conventional combustion modes, where the intake
temperature is held constant to minimize loss of power density. However, due to the fact
that the intake temperature is 60 K lower, it is still surprising that the exhaust enthalpy with
the TBC is higher.
Overall, it can be concluded that most benefits came from the increased coating
thickness with low thermal conductivity. The low volumetric heat capacity is critical in
conventional combustion and CAI modes, but not as crucial in pure-HCCI combustion
modes.
Table 11: Engine performance at load of 4.5 bar IMEPg
Optimal configuration Metal baseline
𝜂𝑖𝑔,𝑡ℎ [%] 48.79 44.22
𝜂𝑣𝑜𝑙𝑢𝑚. [%] 78.35 70.97
𝑇𝑖𝑛𝑡 [K] 320 379
𝑇𝑒𝑥ℎ [K] 765 799
𝛿𝐻𝐸𝑉𝑂 [%] 105.7 100
𝜙 0.35 0.43
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Another interesting finding is that the thermal efficiency in LTC is highly related
to the maximum surface temperature, as shown in Figure 47. Increasing thickness has the
steepest slope. This relationship reveals the importance of elevated surface temperature on
LTC efficiency; the most effective way to increase the surface temperature is to use thick
TBCs with a low-𝑘 material.
Finally, due to the 0D/1D nature of this model, combustion efficiency effects were
not studied. However, the previous experimental work found that the benefits to
combustion efficiency with thick TBCs in pure-HCCI were at least as significant as the
benefits to thermal efficiency. It is anticipated that elevated surface temperatures would
also significantly improve combustion efficiency, and those benefits would be additive
with the thermal efficiency improvements.
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Figure 46: optimization routine and engine performance
Figure 47: Gross indicated thermal efficiency vs. maximum surface temperature
110
CHAPTER 6. GASOLINE COMPRESSION IGNITION TEST CELL
COMMISSIONING
The study of thick thermal barrier coatings for HCCI established a fundamental
understanding of how various coating properties affect LTC engine performances.
Additionally, it revealed that the optimal coating thickness for LTC could be distinct from
the one for conventional combustion modes such as SI and CDC. However, HCCI is still
impractical in terms of commercialization due to the lack of control over the combustion,
which necessitates research focused on the second generation LTC modes.
The following sections will focus on gasoline compression ignition (GCI) as a stratified
LTC mode that holds promise of nearer-term commercialization due to its improved
controllability and load range compared to HCCI. To gain a better understanding of the
GCI family of combustion concepts, first, gasoline partial fuel stratification (one of GCI
branches) will be experimentally investigated, where different injection strategies will be
employed and evaluated. Then, the thesis continues with exploring the optimal TBC
properties for GCI by quantitively determining the benefits and tradeoffs using the 0D/1D
model that was previous developed for investigating the coupling between TBCs and
thermodynamics.
6.1 Single-cylinder light-duty GCI engine commissioning
A GCI engine test cell was designed and commissioned in-house to provide a state-of-the-
art engine platform to operate GCI combustion at Clemson University.
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Figure 48: Clemson University single-cylinder light-duty GCI test cell overview
The engine head was modified from a GM four-cylinder 1.6L production diesel
engine. Only the second cylinder was activated and coupled with an FEV single-cylinder
engine block. The specific engine geometry and specifications are listed in Table 12. There
are two bore options for this engine (79.7 mm and 82.0 mm), and the different bore can be
achieved by swapping the custom-made liner. The engine is equipped with a production
re-entrant bowl piston that is typically used for conventional diesel combustion. Recent
studies have shown that this type of bowl geometry could be favored for GCI high load
operation [103].
The engine is equipped with two fuel injection systems, a high-pressure fuel system
that was supplied by a Bosch CP3 pump (belt-driven from the crankshaft with a gear ratio
of 1:2), and a port fuel injection system to create the nearly homogeneous mixture at the
intake port.
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Table 12: Engine parameters
Displacement 400 [cc]
Bore 79.7 / 82.0 [mm]
Stroke 80.1 [mm]
Number of Valves 4
IVO [deg ATDC] -360
IVC [deg ATDC] -160
EVO [deg ATDC] 145
EVC [deg ATDC] -345
Compression Ratio 16 - 17
Maximum speed 4000 [rpm]
Injection type DI & PFI
DI Injection pump Bosch CP3
Injector Denso DCRI300770 7-hole
The schematic of the high-pressure direct injection system is shown in Figure 49 –
top. The low-pressure loop has two main objectives. First, it serves as the feeder to the
high-pressure CP3 pump at constant pressure (~7 psi); second, it measures the fuel flow
rate by a MicroMotion Coriolis flowmeter. The check valve at the junction of low-pressure
and high-pressure loop prevents backflow to ensure accurate fuel flow measurement. The
two heat exchangers (as shown in Figure 49 - right) in the high-pressure loop are critical
because gasoline has a much lower boiling point than diesel fuel such that any heat from
the pump, metering unit, or pressure control valve could vaporize the gasoline, which could
potentially damage the pump or cause inaccurate fuel flow measurements. Fuel pressure is
managed by controlling the metering unit and pressure control valve (at the end of the high-
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pressure rail). The rail pressure was measured by two Kistler 4067C3000S pressure
transducers at a distance of 50 mm and 300 mm from the rail to the injector.
Figure 49: Top: Layout of high-pressure direct injection fuel system; Left: Low-pressure loop cart; Bottom right: Heat exchangers for fuel return cooling.
The PFI system is designed in a similar manner but with much less complexity due to
the absence of the high-pressure loop. The PFI flow rate is also measured by another
MicroMotion Coriolis flow sensor, and the injection pressure was rated at 40 psi to the
intake port.
The intake air is boosted by the building compressor (up to 65 psi) and then throttled
by an Alicat flow controller to the desired boost level for engine intake. The air flow rate
to the engine is measured by a Fox Thermal FT2a flow meter and a second time by the
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Alicat mass flow controller. There is a 3-kW intake heater (PID controlled) upstream of
the intake plenum to condition the intake temperature. Both intake temperature and
pressure were measured at the intake port via K-type thermocouple and a Kistler
4045A5V200S pressure transducer (high-speed), respectively. The intake port has a swirl
valve with six valve positions.
The cylinder pressure is measured by Kistler 6125C cylinder pressure transducer. The
glow-plug hole in the engine head was modified for cylinder pressure transducer
installation. Figure 91 (in Appendix B) shows the detailed dimensions for the in-house
designed and made cylinder pressure transducer mounting adapter. The Kistler type
2614A1 encoder mechanism and a 2614A2 signal conditioner measure the crank angle to
interpret piston’s position and combustion chamber’s volume. The high-speed
measurements, such as cylinder, intake, exhaust, and rail pressures, were triggered by crank
angle measurement at a resolution of 0.1 crank angle degrees.
Five types of emissions (UHC, CO, CO2, O2 NOx) were sampled at the exhaust
plenum and measured by Horiba Mexa 7100D-EGR analyzer bench. The same bench also
samples the intake charge to calculate the EGR rate based on CO2 fraction. The AFR and
a redundant EGR measurement are implemented by two sets of ECM oxygen sensors with
pressure compensation. A detailed bus series connection and sensor instrumentations for
ECM CANp modules and sensors are shown in Figure 50.
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Figure 50: ECM AFR and EGR modules in series bus connection
A custom LabVIEW program monitors engine operating conditions such as cylinder
pressure, breathing conditions (intake/exhaust pressures and temperatures), fuel system
pressures, oil and coolant thermal management, etc. Several combustion performance
metrics are also real-time processed and monitored, such as processed heat release rate,
ringing intensity, efficiencies, etc. The program also provides real-time engine controls of
boosting pressure, EGR and exhaust valve positions, injection pressure, the number of
injections and timings, etc. The data is saved to local disks with 300 consecutive cycles
while reaching steady states.
At the time of this dissertation defense, this single cylinder light-duty GCI engine has
been motored and fired and final shakedown testing and debugging is ongoing. The GCI
project funded by Aramco Services Company that motivated this test cell commissioning
will continue for another ~2 years beyond the end of this dissertation and will be used for
the future experimental engine testing under that research contract.
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CHAPTER 7. INVESTIGATION INTO THE INJECTION STRATEGIES FOR
GASOLINE PFS – EXPERIMENTAL RESULTS & DISCUSSION
7.1 Objective and Experimental operating conditions for GCI investigation
The experiments presented in this section were conducted on the single cylinder Ricard
Hydra engine described in Chapter 2. The objective was to develop an understanding of
the GCI combustion family by experimenting with the injection characteristics of PFS
combustion and its effects on burn rate, efficiencies, and emissions.
The engine was operated at a constant speed of 1200 rpm. The total fuel flow rate
for PFI and DI (both gasoline) was held fixed and targeted at 16 mg per cycle regardless
of the split fraction. Subsequently, the charge-mass equivalence ratio φ’ is kept constant at
0.35. Other engine operating conditions such as split fraction, intake temperature, the start
of injection (SOI) timing for single/double late injection, etc., are listed in Table 13.
Since EGR is applied, the charge mass equivalence ratio is used to identify the
overall cylinder fuel richness. Unlike the most common definition of equivalence ratio φ,
which was only based on the dilution of air, the charge mass equivalence ratio, sometimes
denoted by φ’, defines the overall dilution level in the cylinder by air and/or EGR. The
mathematical definition for φ’ is shown in the equation below:
𝜙′ = 𝜙 ∗ (1 −𝐸𝐺𝑅 + 𝑅𝐺𝐹
100 ) (22)
All data are saved after combustion reaches steady states and follows the saving
criterion that was mentioned in the previous sections.
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Table 13: Engine operating conditions in PFS study
Engine Speed [rpm] 1200 PFI Fuel 87-AKI Gasoline DI Fuel 87-AKI Gasoline
PFI SOI Timing [deg aTDC] -120 PFI Pressure [psi] 28
DI ‘Single’ Late Injection Timing [deg aTDC] -140; -110; -80; -60; -50; -45; -40
DI ‘Double’ Late Injection Timing [deg aTDC]
[-70, -50]; [-80, -40]; [-90, -30]; ~ -60
[-60, -40]; [-70, -30]; [-80, -20]; ~ -50
[-50, -30]; [-60, -20]; ~ -40
DI Pressure [bar] 550 Split Fraction 90%; 80%; 70%
Total Fuel Rate [mg/cycle] 16 Charge-Mass Equivalence Ratio (φ’) 0.35
Intake Pressure [bar] 1.6 Intake Temperature [K] 340 Coolant Temperature [k] 373
Oil Temperature [K] 363 Combustion Phasing- CA50 [deg aTDC] 8.6
7.2 The effects of SOI timing on PFS combustion characteristics, efficiencies, and
emissions
In this section, the experiments are conducted while holding the amount of fuel flow per
cycle constant at 16mg/cycle. To isolate the effects of combustion phasing on the
combustion process and performance metrics, CA50 is targeted at 8.6 degrees aTDC for
all cases, which is controlled by varying the externally cooled EGR percentage into the
intake plenum. The intake pressure is boosted to a 1.6 bar. The intake temperature is
maintained at 340 K. The injection timing window is chosen from -140 to -40 deg aTDC
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with a diminishing spacing between each SOI timing. The reason for this diminishing
arrangement is that the later injection event creates more fuel stratification in the cylinder
and the combustion process becomes increasingly sensitive. Other operating conditions,
including the injection strategies, are shown in Table 13. And the idea of injection strategy
is shown in
Figure 51: Injection strategy for single late injection (SLI) with SF70
Figure 52 only shows the heat release rate as a sweep of SOI timing at a split
fraction of 70%. The pressure traces are not shown in this figure to provide a clear
visualization of the heat release rate (HRR), but the combined HRR-pressure trace plot can
be found in the Appendix (Figure 88). From Figure 52, it can be seen that the earliest four
injection timing cases overlap with each other, indicating that delaying SOI from -140 to -
60 degrees aTDC does not result in a significant change to the combustion process.
However, delaying the injection timing further starts to have a more noticeable effect on
combustion in the window of -60 to -40 degrees aTDC.
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Figure 52: GHRR for an SOI sweep at a split fraction of 70% (SF70, i.e., 70% of the fuel mass was port fuel injected and 30% was direct injected at the timing indicated in the legend)
With the delay of SOI timing, the peak heat release decreases and the heat release
process is elongated – this knock-reducing trend will be quantified in more detail in Figure
53. This trend is due to the in-cylinder φ stratification that is created by the later
compression stroke injection event. As the SOI timing retards, the time for air and fuel
mixing before autoignition is shorter, and this creates more fuel stratification in the
cylinder. As the cylinder temperature increases from compression, the rich regions auto-
ignite first and release their heat, which increases the cylinder pressure and temperature
further, contributing to the subsequent autoignition of progressively leaner regions.
The combustion characteristics and efficiencies are shown in Figure 53. Overall,
the load was kept at a relatively constant level. For the earlier injection timings, the SOI
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timing has almost no effects on the peak pressure rise rate (PPRR); however, continuing to
delay SOI timing leads to a decrease in the PPRR starting at -60 degrees aTDC. This
indicates that at this boost level and this type of fuel, the φ-sensitivity is relatively weak,
and it is difficult to provide considerable control over the combustion process until a
relatively late injection event is used. Before -60 deg aTDC, the air and fuel are too
premixed to provide enough φ stratification. For SOI timing of -60 to -40, the PPRR
decreased from 7 to 5.8 bar/CAD, and the burn duration is prolonged from 7.5 to 8.1 CAD.
These outcomes agree with the heat release features in Figure 52. The combustion
efficiency, ηc, does not change significantly as the SOI timing is varied, although there is
a slightly decreasing trend for the latest injection timings. This is most likely due to the
incomplete combustion of either locally low-temperature regions or locally rich regions;
this trend agrees with the CO emissions shown in Figure 54. Overall, this φ stratification
level is not strong enough to deteriorate combustion, and the combustion efficiency was
maintained at around 95% through all the experiments.
It can be seen in Figure 53 that, in this SOI timing sweep, the gross indicated
thermal efficiency is decreased by 1.5 percentage points from 45% to 43.5%. There are
three possible explanations for this decrease. First, the burn duration is extended and that
will reduce the effective expansion work. Second, another possible consideration is the
increased portion of EGR from about 47% to 50%, which changes the properties of the
mixture and decreases the ratio of specific heats, γ. The reason for the EGR increase will
be discussed in the following paragraph in this section. The following equation shows the
ideal Otto cycle’s thermodynamic efficiency. Here CR is the geometric compression ratio.
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𝜂𝑡ℎ = 1 −1
𝐶𝑅(𝛾−1) (23)
Therefore, the change in the mixture’s ratio of specific heats could be another
reason that thermodynamically supports the efficiency decrease which was also mentioned
in a previous EGR-focused study from Olsson et al. [104]. The third factor in the 1.5
percentage point decrease in ηth,ig as the injection timing is retarded is that the evaporation
of the fuel absorbs heat from the thermodynamic cycle, which, depending on when that
heat absorption occurs, can be beneficial or detrimental to thermal efficiency. The
hypothesis here is that as the injection occurs later in the compression stroke, there is a
larger penalty to thermal efficiency due to the heat absorption of the evaporating liquid,
which is likely that this thermodynamic factor is playing a role in the decrease in thermal
efficiency with retarded SOI timing. Yang et al. have shown a similar decreasing trend in
ηth,ig with delayed SOI timings [105]. Wissink et al. have also shown this trend from a
purely thermodynamic analysis [106].
122
Figure 53: Combustion characteristics and efficiencies vs. injection timing at SF70
The emissions data are shown in Figure 54. On the top subplot, it can be observed
that the EGR percentage requirement to match combustion phasing increases with the delay
of SOI timing. The shape of the trend is similar to the other combustion metrics in Figure
53, i.e., slowly elevates for the earlier injection timings, but become much steeper for SOI
timings after -60 deg aTDC. This increase in EGR percentage is related to the increased
fuel stratification. Compared with a fully premixed charge, the less well-mixed charge has
rich and lean regions in the combustion chamber. The rich regions will autoignite earlier
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and release their heat, which results in an earlier combustion phasing (CA50). Since CA50
was kept constant using EGR percentage in this study, more EGR was needed to retard the
combustion phasing back to the target value of 8.6 deg aTDC.
The UHC emissions are relatively constant, matching the trend in the combustion
efficiency. The CO emissions are constant for the early SOI timings, but start to increase
linearly after -60 deg aTDC. This is potentially due to CO chemistry freezing as the burn
duration increases because CO to CO2 conversion strongly depends on the OH radicals,
which are insufficient at a lower temperature. After -60 deg aTDC, the reduced heat release
rate and slightly higher EGR fractions result in a lower bulk cylinder temperature; thus, the
CO emissions increase. The NOx emissions have a similar trend as CO emissions, but for
a very different reason. The NOx formation is closely coupled with high temperature due
to the dissociation of O2 and N2. Hence, the increase of NOx emissions is related to the
locally high-temperature regions, which result from the combustion of the locally near-
stoichiometric regions. There are a larger number of these regions as the SOI timing retards
beyond -60 deg aTDC, which causes the NOx emissions to increase.
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Figure 54: Emissions vs. injection timing at a split fraction of 70
7.3 The effects of Split Fraction (SF) on PFS combustion characteristics, efficiencies,
and emissions
The effects of SOI timing on combustion performance and emissions have been
systematically studied and discussed above. For the purpose of having a better
understanding of the level of in-cylinder fuel stratification, as well as the φ-sensitivity of
87-AKI gasoline under a relatively low boosted condition, the combined effects of split
fraction and SOI timing will be discussed in this section. Here ‘split fraction’ is the ratio
of port injected fuel mass flow rate to the total fuel flow rate, which includes both PFI and
DI. For example, SF100 means that all of the fuel has been delivered by PFI, which could
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be considered as HCCI, and SF70 means that 70% of the fuel has been injected into the
intake manifold as fully premixed charge and 30% of fuel has been directly injected into
the cylinder during the compression stroke. For consistency with the injection timing study
described above, the operating conditions for the split fraction study are identical to the
conditions listed in Table 13.
Figure 55 shows the heat release rate and pressure trace for the different split
fractions with the same SOI timing of -50 deg aTDC. A considerable reduction in the peak
heat release rate can be observed. This indicates that increasing the portion of directly
injected fuel increases the level of in-cylinder φ stratification. A higher fraction of directly
injected fuel mass will result in locally richer regions that autoignite earlier. This also
explains the EGR increase as split fraction decreases shown in Figure 57, because more
EGR is needed for those earlier autoigniting regions (due to the higher fuel stratification
level) to maintain constant combustion phasing. Thus, as shown in Figure 56, the burn rate
decreases, which lowers the pressure rise rate and the duration of heat release increases.
By close examination of Figure 55, it can also be seen that the peak pressure before
combustion generally decreases with a lower split fraction. This is due to the effect of
evaporative cooling of the fuel during the compression stroke. As more fuel is injected
during the compression stroke, more heat is absorbed from the cycle, and the pressure is
reduced. This phenomenon is responsible for the thermodynamic efficiency penalty
associated with compression stroke injections described above in the discussion
surrounding the efficiency decrease in Figure 53.
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Figure 55: GHRR & pressure trace for different split fractions at an SOI timing of -50 deg aTDC
Figure 56 shows the IMEPg, PPRR, burn duration, combustion efficiency, and
gross thermal efficiency for the operating cases shown in Figure 55. Intuition might suggest
that the combustion efficiency would decrease as the split fraction decreases due to over-
rich regions with insufficient oxygen, longer burn durations that can potentially freeze late-
cycle CO, and the slightly increasing EGR fraction to maintain CA50 (Figure 57).
However, Figure 56 shows that the combustion efficiency is approximately constant, with
a slight increase as the split fraction is reduced. It is speculated that this indicates that the
unreacted premixed fuel in the crevices is responsible for the combustion inefficiency.
Therefore, since the total fuel in the cylinder is constant, as the split fraction decreases, the
background equivalence ratio decreases, which results in less unburned fuel being trapped
in the crevices at this SOI timing. This explains the slight decrease in UHC emissions in
Figure 57.
127
Figure 56: Combustion characteristics and efficiencies vs. split fraction at an SOI = -50 deg aTDC
The gross indicated thermal efficiency decreases from 46% to 44% as the split
fraction decreases. Both Yang et al. [105] and Dernotte et al. [67] reported similar
decreasing trends with an increase in the DI fuel portion. This decrease is most likely
caused by the same three factors as discussed above: 1) the longer burn duration, 2) the
higher required EGR fraction that changes the mixture properties, and 3) the increase in
the energy absorbed during the compression stroke due to the evaporative cooling of the
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spray. Since the combustion efficiency only increases slightly, the overall fuel conversion
efficiency still has a decreasing trend as the DI portion increases.
The NOx emissions increase as the split fraction decreases due to existing of more
rich and near-stoichiometric regions. However, the NOx emissions are formed only above
a certain temperature threshold, and it was maintained at a very low range throughout all
of the experiments. This is presumably due to the high usage of EGR. As shown in Figure
57, the EGR percentage for all points is above 45%, and that is the primary reason for the
ultra-low NOx emissions in addition to the boost level. The boosting and EGR rate results
in a charge-mass equivalence ratio of 0.35, and consequently, near-zero engine-out NOx
levels despite the load being about a 6.5 bar.
Figure 57: Emissions vs. split fraction at an SOI = -50 deg aTDC
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7.4 The combined effects of SOI timings and split fraction
Figure 58 shows the change of emissions, combustion characteristics, and efficiencies
versus various SOI timings and different split fractions which are labeled by three distinct
colors (red, yellow, and blue represent split fractions of 90%, 80%, and 70%, respectively).
The black dashed line represents the results of the fully premixed HCCI operation baseline.
The HCCI baseline had the same fueling rate and combustion phasing as the other cases.
In this section, the combined overall effects of SOI timing and the split fraction will be
studied. The benefits and drawbacks of a realistic boost condition will also be discussed.
In order to make a clear visualization, the transparent blue box in both figures is the data
set for the previous split fraction study.
There is an interesting trend for UHC emissions in Figure 58. As the injection
timing retarded from -140 to -40 degrees aTDC, the UHC emissions have an overall slight
decrease for the early injection timings, followed by an increase at the later injection
timings. The first decrease is most likely due to the injection angle of 60 degrees. As shown
in Figure 59, at an SOI timing of -140 deg aTDC, the spray is approximately aimed into
the cervices between the piston and liner. As the SOI timing is delayed, the spray is targeted
toward the top of the piston. Thus, the UHC emissions decrease at the beginning of the
sweep. Further delaying the SOI timing causes the UHC emissions to increase, which could
be due to the spray and wall impingement or higher fuel stratification resulting in rich
regions in the cylinder. A future CFD simulation can shed light on the level of stratification,
spray-wall impingement, and the sources of UHC and CO emissions. Even though NOx
130
emissions increase with later injection timings, they still remained remarkably low due to
the high EGR rate.
Figure 58: (Left) Combustion characteristics and efficiencies; (Right) Emissions vs. start of injection timing at different split fractions
Figure 59: Spray at -140, -110, -80, and -50 deg aTDC
Compared with the HCCI baseline, PFS with a single late injection (SLI) strategy
was able to reduce the peak pressure rise rate by up to 31% (from 8.5 to 5.85 bar/CAD) at
the lowest split fraction of 70% and the latest injection timing at -40 deg aTDC. It can be
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observed that the gap between the three trend lines is smaller between 80% and 70% than
the gap between 90% and 80%. This indicates that the effects of the split fraction are
diminishing. Further increasing split fraction would cause increased UHC and CO
emissions and deteriorated combustion efficiency due to the inhomogeneities. This agrees
well with the results by Yang et al. showed that the optimal DI portion for a higher boost
level is around 15% [105]. Further delaying SOI timing would raise the UHC and CO
emissions again due to several possible factors; 1) the spray-wall impingement contributes
to the UHC emissions increase, 2) the lower heat release rate leads to a lower cylinder bulk
temperature which causes an increase of CO emissions, and 3) the higher fuel stratification
level might create some over-rich regions that do not burn completely. The NOx emissions
increase as the injection timing is delayed because there is less time for mixing before
autoignition, resulting in rich and near-stoichiometric regions, which causes locally high
temperatures that produce NOx. The combustion efficiency remains almost constant at
95%. The gross indicated thermal efficiency has a clear decrease as the fuel stratification
level increases.
From all of the discussion above, it can be concluded that both SOI timing and split
fraction have some effect on the combustion and heat release process in PFS. The peak
pressure rise rate and the maximum pressure rise rate are reduced with no observable
combustion and emissions deterioration. Therefore, to some extent, both the SOI timing
and split fraction could be used to reduce engine knock and expand the maximum load
limit. However, the impact is not significant at this boost level due to the relatively weak
φ-sensitivity of gasoline. In order to address this difficulty and have more controllability
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on the heat release process, a double late injection (DLI) strategy (i.e., two compression
stroke injections) has been introduced and investigated in the following section.
7.5 The Double Late Injection (DLI) strategy with comparisons to the Single Late
Injection (SLI) strategy
As shown in the previous section, the fuel stratification level can be manipulated by varying
the SOI timing and the DI split fraction. However, in a high compression ratio engine
operating at a realistic boost level, the φ-sensitivity of 87-AKI gasoline is not inherently
strong enough to make a sufficient reduction on heat release rate and PPRR as the load
increases. That is to say, the stratification and the fuel’s φ-sensitivity are not enough to
further reduce engine knock while reaching the load limit. Therefore, we propose a possible
way to enhance the controllability of the heat release process at these realistic conditions –
by applying a double late injection (DLI) strategy (i.e., two compression stroke injections)
to develop a stronger φ stratification in the cylinder.
Figure 60: Injection strategy for double late injection (DLI) with SF70
Compared to a single compression stroke injection, two injection events with the
same duration are chosen to replace the single injection. In order to make a fair comparison,
the total amount of fuel being supplied during these two injections equals to that of a single
injection. Therefore, the split fraction of DI and PFI is not changed. As for the timings of
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the two compression stroke injections, they are set equally at some crank angle spacing
before and after the original single SOI timing. For example, if the single SOI timing is -
60 deg aTDC, then the corresponding double SOI timings are set to be -70 and -50, or -80
and -40, or even -90 and -30 deg aTDC. In this way, the equivalent SOI timing is still -60
deg aTDC, but the effects on the combustion process for a single versus double
compression stroke injection can be studied with varying spacing between the two
compression stroke injections.
Figure 61 shows the heat release rate and pressure trace for fully premixed HCCI,
PFS with single late injection (SLI) at SOI = -60 deg aTDC, and three PFS with double
late injection (DLI) at an equivalent SOI timings of -60 deg aTDC, but with different split
injection spacings. It can be observed that compared to HCCI and the single injection
strategy, using a DLI strategy significantly elongates the heat release process and further
reduces the peak heat release rate. The dashed brown line in Figure 61 shows the peak heat
release rate at a split fraction of 70 and an SOI timing of -40 deg aTDC, which was the
lowest single injection peak heat release rate that was achieved by manipulating the SOI
timing and split fraction. This indicates that the DLI is able to stagger the ignition timing
of various regions more effectively than what can be achieved by an SLI strategy at the
same split fraction.
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Figure 61: GHRR for HCCI, SF70 with a single compression stroke injection, and SF70 with a double late injection (DLI) at various split injection spacings
The combustion features and efficiencies are shown in Figure 62. Compared with
the HCCI baseline (8.46 bar/CAD), the PPRR reduces by 50% (down to 4.2 bar/CAD)
through the DLI strategy, which is an additional 25% more than that of the maximum SLI
point (5.85 bar/CAD). In other words, the prolongation of the burn duration from the HCCI
baseline condition to the DLI case is almost double that of the maximum SLI case. The
reason for the further reduction in the burn rate and PPRR is presumably due to the
increased φ stratification when applying the DLI strategy. The first late injection creates
some amount of φ stratification, but it gets mixed with the premixed charge somewhat due
to the additional time for mixing, and the turbulence created by the piston motion.
However, there is still some stratification before the second injection. When the second
injection happens, it further elevates the mixture’s inhomogeneity locally near the
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penetration of the spray plumes and the evaporation areas. These results show that splitting
the compression stroke injection into a larger number of smaller injections creates a more
favorable φ distribution prior to ignition. This effect will be discussed more in the
following paragraph.
From Figure 62, it can be seen that at the same equivalence injection timing, the
PPRR reduces as the injection spacing increases. This indicates that the larger injection
spacing results in a higher fuel gradient primarily because the second injection becomes
later and results in a shorter autoignition delay of the richer regions. This is confirmed by
examining the EGR fraction shown in Figure 63. Higher EGR rates are required with the
DLI strategy to maintain the same combustion phasing. Delaying the equivalent SOI timing
from -60 to -40 deg aTDC further reduces the PPRR, but with diminishing returns and the
maximum stratification level merges to about the same level. The largest injection spacing
tested with a centroid of -60, -50, and -40 all have similar heat release processes, PPRRs,
and similar combustion characteristics.
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Figure 62: Combustion characteristics and efficiencies vs. injection spacing at different equivalent injection timings at a split fraction of 70
The combustion efficiency decreases as the injection spacing increases. There are
no strong trends in the UHC emissions; although they all have a decreasing trend, the
magnitude for the reduction is less than 10%. Therefore, the decrease in combustion
efficiency is due to the significant increase in CO emissions (i.e., the CO more than doubles
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as the injection spacing increases, see Figure 63). CO emissions are extremely sensitive to
the peak cylinder temperature, and because as the heat release is over-elongated, the peak
cylinder temperature is significantly reduced. That causes the CO – CO2 chemical reaction
to freeze, which increases CO emissions and subsequently decreases the combustion
efficiency from about 95% to 93.5%. The trends of combustion efficiency and CO
emissions agree well with previous research results by Dernotte et al. [67]. The estimated
cylinder bulk temperatures are shown in Figure 89 (in Appendix), and it can be observed
that the peak temperature difference from HCCI to the lowest peak heat release rate case
is almost 100 K (1800 K to 1715 K).
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Figure 63: Emissions vs. injection spacing at different equivalent injection timings at a split fraction of 70
The change in gross indicated thermal efficiency is the result of competing effects;
longer burn durations and lower heat transfer losses. The former causes a reduction in the
effective expansion work. The latter reduces the energy loss to the environment resulting
in higher efficiencies. It can be concluded from the trends that the reduction in heat transfer
losses is dominant at these conditions. As a result, the gross indicated thermal efficiency
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increases with the increasing injection spacing. The overall fuel conversion efficiency does
not significantly change because it is the product of combustion efficiency and gross
indicated thermal efficiency. However, the gross fuel conversion efficiency is still higher
for the DLI strategy than the single injection strategy by up to 1 percentage point while
additionally providing lower PPRR and the peak heat release rates.
Overall, it is encouraging to see that the double late injection could achieve a higher
stratification level that authorizes more control over the combustion process and enables a
higher load limit at a boost level of 1.6 bar. Since a good fundamental understanding of
GCI has been established, the following section will explore the effects of TBCs on GCI
combustion using the 0D/1D simulation code that was described in Chapter 4.
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CHAPTER 8. THERMAL BARRIER COATINGS FOR GCI - MODELING
RESULTS AND DISCUSSIONS
The lesson learned from the previous HCCI - TBC modeling shows that the thicker
coatings could potentially be more favorable for LTC in terms of efficiency performance,
and the thickness limit is mostly dominated by the charge heating and the equivalence ratio
(usually at the highest load condition).
The previous chapter showed that the high load limit of PFS could be potentially
improved by applying a double late injection strategy. However, the load range for PFS is
still on the lower end when compared with the conventional combustion modes.
Additionally, as the load increases, the PFS strategy can be limited due to oxygen
availability, which eventually requires more boost which can be somewhat impractical or
cause an efficiency penalty. Therefore, a more stratified gasoline compression ignition
strategy is needed at high-load operating conditions where the injection window shifts to
the PPCI range [107][108]. However, challenges remain for pure PPCI modes at high load
because they rely on a significant amount of EGR dilution to maintain the NOx emissions
and combustion noise in an acceptable range, where accurate control of EGR rate and
combustion stability can become difficult [109]. Recent studies have proposed a hybrid
mode incorporating both PPCI and diffusion combustion [110] [111]. The PPCI-diffusion
strategy could be achieved by two/multiple injections during the late compression stroke
and followed by one main injection near TDC to promote gasoline diffusive combustion.
A CFD simulated heat release rate, cylinder pressure, and in-cylinder distributions are
shown in Figure 64 from [111]. It can be seen that during the compression stroke, the early
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injection enables PPCI combustion which creates a desired in-cylinder thermodynamic
conditions for a gasoline diffusive combustion process driven by the second injection. This
hybrid combustion process has shown promising combustion performance with tolerable
emissions [111][112]. This PPCI-diffusion combustion strategy will be adopted for most
of the simulations in this GCI-TBC study in this chapter. The CFD models were provided
by Aramco Services Company, i.e., the model for generating the results in Figure 64 [111].
Figure 64: PPCI-diffusion combustion strategy from Yu et al. [111].
Left: heat release rate and cylinder pressure; Right: in-cylinder mixing and temperature distribution
8.1 Model upgrade and validation
A 0-dimensional thermodynamic model has been established for the GCI – TBC study.
The overall frame was similar to the model frame introduced in Chapter 4. However, a few
concerns have to be addressed due to the different in combustion modes and data
availability. Since the diffusion combustion phase of GCI is not very sensitive to the IVC
temperature, the intake temperature was left unchanged throughout these simulations. In
theory, the PPCI phase of combustion is expected to be influenced by the coating, but the
possible change of PPCI was excluded from the scope of this thesis because the portion of
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heat release is relatively small compared to the diffusion phase, and the phasing could
potentially be adjusted by implementing a different injection strategy. As a result, the heat
release was prescribed from the CFD output. Additional attention should be paid to heat
transfer modeling. In Chapter 4 and 5, the research target was HCCI, whose mixture and
combustion process can be considered nearly homogeneous, which is to say that the heat
fluxes are relatively uninformed to each chamber components such as the piston, firedeck,
valves, and liner. Thus, a modified Wochini heat transfer correlation could be adopted to
capture heat flux change when coatings are applied. However, in this section, the research
target switches to GCI with PPCI-diffusion combustion strategy. It can be observed from
Figure 64 that the PPCI and diffusion combustion were extremely heterogeneous. The
injection plumes targeted the piston bowl to ensure the wall-guided air utilization, and
combustion happens much closer to the piston rather than the head and liner.
By examining the averaged heat flux to each independent chamber component (Figure
65, from CFD simulation results), it can be seen that the heat flux to piston was much
higher than the heat flux to the other components (the valves and firedeck were about the
same and the heat flux to liner was the lowest). This highly heterogeneous heat flux
distribution broke the uniformed heat flux assumption that was utilized in the HCCI
analysis. In other words, the traditional heat transfer correlation (i.e., Woschni, Hohenberg,
Modified Woschni) may be able to capture the average heat flux, but they will not be able
to determine the local heat fluxes which would dictate the highest possible heat fluxes and
temperatures experienced by different engine components. Since our goal is to evaluate
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TBCs and their influence on each combustion chamber component, employing accurate
heat fluxes became critical.
Figure 65: Heat flux to different combustion chamber components.
Recall from Equation 11 that the heat flux consists of two parts: a convective heat
transfer coefficient ℎ𝑐𝑜𝑛𝑣 and a temperature difference between the gas and wall (𝑇𝑔𝑎𝑠 −
𝑇𝑠𝑢𝑟𝑓𝑎𝑐𝑒). The source of error came from vastly different ℎ𝑐𝑜𝑛𝑣 experienced by different
components, and the CFD result shows that the gas side temperatures were fairly similar
for each component (which is shown in the Appendix, Figure 90). Therefore, a hybrid heat
flux estimation approach was established. Instead of using a convective heat transfer
correlation, the model adopts the convective heat transfer coefficient from the spatially
averaged CFD result, ℎ𝑐𝑜𝑛𝑣,𝐶𝐹𝐷,𝑖𝑘 . Since the gas side temperatures for each component were
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fairly close to the bulk gas temperature, the heat flux equation still uses the same terms for
gas and wall surface temperatures. The modified equation became:
�̇�ℎ𝑡,𝑖𝑘 = ℎ𝑐𝑜𝑛𝑣,𝐶𝐹𝐷,𝑖
𝑘 ∗ (𝑇𝑔𝑎𝑠 − 𝑇𝑠𝑢𝑟𝑓𝑎𝑐𝑒𝑘 ) (24)
where subscript 𝑖 indicates the time step and superscript 𝑘 indicates different chamber
components (e.g., piston, valves, head, and liner). ℎ𝑐𝑜𝑛𝑣,𝐶𝐹𝐷,𝑖𝑘 is the spatially averaged
convective heat transfer coefficient from CFD output. Since this coefficient is mainly
affected by turbulence and combustion, it is assumed to be unchanged for each operating
condition as long as the heat release process is replicable. Although the combustion process
may be affected by the coatings due to the hotter walls, a CFD result shows no noticeable
change to the diffusion phase, and altering the injection timing of the first injection could
help to compensate for the phasing for the PPCI combustion.
Figure 66 shows piston heat flux comparison among the hybrid method (in dashed
black), pure CFD estimation (in red), and Hohenberg heat transfer correlation (in blue).
Note that Hohenberg's correlation is chosen here (instead of Chang’s modified Woschni
correlation) because of the diffusive combustion. It can be observed that the Hohenberg
correlation has a considerably underpredicted piston heat flux during combustion.
Comparing the hybrid method and CFD prediction, the former has a slightly lower peak,
but the overall magnitude and trend agree very well with the CFD results.
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Figure 66: Piston heat flux estimation from three different methods. Blue: Hohenberg correlation; Red: CFD results; Dashed black line: Hybrid heat flux (0D dT + ℎ𝐶𝐹𝐷)
The engine platform in this section adopts Aramco’s advanced light-duty GCI
engine. Detailed engine specifications are listed in Table 14. In addition, the model was set
to match the full load operating conditions at 23.5 bar IMEPg, and the overall engine
operating conditions are provided in Table 15.
Table 14: Engine specifications for Aramco light-duty GCI engine
Geometric Compression ratio 17
Stroke [mm] 123
Bore [mm] 82
Connecting rod length [mm] 205
Critical valve timings [aTDC] IVC: -164 EVO: 152
Head bore ratio 1.10
Piston bore ratio 1.16
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Table 15:PPCI-diffusion combustion operating conditions
Engine load [IMEPg] 23.5
Intake pressure [bar] 3.3
Intake temperature [K] 330.6
Exhaust pressure [bar] 4.2
External EGR [%] 30
Engine speed [rpm] 2500
Combustion Efficiency [%] 99
Fueling rate [mg/cycle] 78
φ / φ’ 0.77 / 0.51
Since the actual engine is still under commissioning, the 0D model was validated
against the CFD simulation results. The CFD model with PPCI-diffusion combustion mode
was well-validated against experimental data from a heavy-duty GCI engine through
multiple metrics [111]. As a result, the two models agree reasonably well with each other,
building confidence in the current model’s predictivity. The modeling results of TBCs for
GCI will be discussed in the following section.
Figure 67: Cylinder pressure and bulk gas temperature comparison between CFD and 0D models
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8.2 Effects of coating thickness on gasoline compression ignition combustion
From the study in Chapter 5, it can be concluded that low thermal conductivity (𝑘) and low
volumetric heat capacity (𝑠) are always favored for coating performance regardless of the
combustion strategy. For traditional SI and conventional diesel combustion, low 𝑘, low 𝑠,
and “thin” coating are preferred because of the existence of the charge heating penalty and
knock for SI. For LTC which requires intake thermal conditioning (e.g., HCCI with high
octane fuel, TSCI, or low load GCI), thicker coatings could be helpful in terms of
combustion, thermal, and volumetric efficiency. Thus, in this section, two sets of real-
world coating material properties will be chosen, and the effect of thickness will be
investigated.
A list of real-world material properties is provided in Table 16. Some engine-
relevant metal properties are also included for reference. The engine head adopts the
property of aluminum; valves (assumed not to be sodium-filled) and piston uses the
property of steel; the liner uses the property of iron. The highlighted materials are two
coating candidates selected in this section for investigation. Gadolinium Zirconate (GdZr)
has shown very encouraging potentials due to its originally low thermal conductivity, and
the performance has been experimentally demonstrated [63]. The other candidate, Gen.2
Candidate#2, was one of the recently found materials with superb thermophysical
properties for coating application. The name of the material is not provided due to a
potentially confidential disclosure for commercialization. These two candidates were
evaluated via four thicknesses (100, 200, 500, and 1000 microns) and compared with the
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metal baseline. Only the piston was coated in this section, and the rest of the chamber
surface remained uncoated. A detailed coverage study will be conducted in a later section.
Table 16: Real-world material properties for engine coating application
Thermal
conductivity (𝒌) [W/mK]
Heat capacity (𝒄𝒑)
[J/kgK]
Density (𝝆) [kg/m3]
Volumetric heat capacity (𝒔)
[kJ/m3K]
Aluminum 240 921.1 2830 2606.71
Steel 43 502.4 7850 3943.84
Iron 69.4 460.5 7850 3614.93
YSZ 1.33 354 5026 1688.48
Gen. 1 GdZr 0.74 430 5850 2515.50
Gen 2 Candidate#1 0.6 500 2987 1493.50
Gen. 2 Candidate#2 0.32 665 3200 2128.00
Gen. 3 Candidate#1 0.3 415 2996 1243.34
Air 0.04 718 0.75 0.54
The simulated surface temperatures are shown in Figure 68. The values of
temperature swing were labeled purple on the left side, and the values of thickness were
labeled orange on the right. Similar to the results that were shown previously, increase the
coating thickness elevates the overall surface temperature and reduces the magnitude of
temperature swing. Better material properties combination (i.e., lower 𝑘 and 𝑠) lead to a
higher temperature swing, which has a lower average temperature and enables a similar
peak surface temperature with a thinner coating.
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Figure 68: Surface temperatures that result from different thicknesses for two different candidate materials at 2500rpm, 23.5 bar IMEP.
The gross indicated thermal efficiency is shown in Figure 69. It is seen that both
coatings improve the thermal efficiency. The improvement was highly pronounced at the
beginning of the thickness sweep when 100 microns coatings are applied. As the coating
thickness increases, the improvement starts showing a trend of diminishing returns for three
main reasons. First, the temperature swing was reduced as the coating thickness increases,
which means that the increment of peak temperature is less than the elevation of
temperature everywhere else during the cycle. Since the heat transfer blocked near TDC is
most important for efficient thermodynamic conversion, the elevated temperature
everywhere else is not as rewarding as elevating the temperature in the near-TDC region,
i.e., where the peak occurs. This is mainly responsible for the trend of diminishing returns.
The second reason was that the charge heating occurs more with thicker coatings, which
results in a richer charge with a lower 𝛾. Finally, the bulk gas temperature increases as the
coating thickness increases, which promotes heat transfer to the uncoated firedeck and liner.
The figure on the right shows that the thermal efficiency was linearly correlated with the
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peak surface temperature, which agrees well with the findings in the HCCI section (Figure
47). Since the improvement was achieved by only varying the thickness, both candidates
have indistinguishable slopes, and the small gap between these two was due to the different
material properties, i.e., 𝑘 and 𝑠.
Overall, the improvement value seems low because only the piston was covered.
Although the efficiency increment reduces as the coating thickness increases, the thermal
efficiency is still increasing at 1 mm. Charge heating is one of the potential reasons that
may prohibit the thickness from increasing further.
Figure 69: Gross indicated thermal efficiency v.s. thickness (left) and peak surface temperature (right) with two candidate materials.
Concurrently, CFD simulations are being performed on this project as part of a
separate thesis and the CFD simulations are best suited to understand the impacts of TBCs
on GCI combustion. The bulk gas temperature, the GdZr coated piston surface temperature,
and the temperature of the metal baseline are shown in Figure 70.
The IVC (at -164 CAD aTDC) and peak temperatures were shown in the zoomed-
in boxes on the left and right, respectively. It can be seen that the IVC temperature of 0.1
mm coated case was even lower than the metal baseline, which is because the coating
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surface temperature during the intake stroke swings down due to the intake charge cooling.
Therefore, the charge density at IVC is actually higher with the coated piston than the metal
piston. The peak gas temperature has a similar trend due to one additional reason: the
charge is leaner which lowers the peak combustion temperature. It was very surprising to
see that the IVC temperature did not increase very significantly. It only increased by 4.2 K
from the metal baseline to the 1mm coated case (6 K with Gen.2 coating). This unexpected
low charge heating was not previously observed in the HCCI section, partially because for
these results, the intake temperature was held constant instead of varying it based on
ignition delay correlation of HCCI. In addition, the previous HCCI study was naturally
aspirated. In this case, the intake was boosted to 3.3 bar, which results in less temperature
increase due to the larger mass of air in the cylinder. A more detailed intake boost study
could be helpful to understand and quantify the boost level and coating interactions.
Figure 70: Bulk gas, coating, and metal piston surface temperature at 23.5 bar IMEPg
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Overall, it was encouraging that the efficiency was predicted to be higher with
thicker coatings and that the charge heating was not as much as expected as a result of the
high level of intake boost.
8.3 Effect of boost on the performance of “traditional” and “temperature swing”
coatings
It was speculated that the charge heating could be improved by intake boosting. This
section will quantitively investigate the effects of intake boosting on TBC performance
thermodynamically. Meanwhile, the performance difference between traditional and
temperature swing coating will be organized and discussed.
The previous load condition was 23.5 bar with 3.3 bar intake pressure, and the
overall phi was ~ 0.77. Since this load is not achievable and realistic with a lower boost
level, the load was lowered to 15 bar IMEPg, and the intake pressure ranged from 1.6 to 3.5
bar, i.e., equivalence ratio of 0.79 to 0.34, respectively. Yttria-stabilized zirconia was
selected to represent traditional coating, and Gen.2 Candidate#2 was selected for the
temperature swing coating. The properties of both materials were provided in Table 16.
The thickness of Gen.2 coating was pre-selected as 1 mm, and both piston and firedeck
were covered in the simulation. The thickness of the traditional coating was determined by
matching the peak surface temperature to the Gen.2 coating (which was 6.8mm in this case)
since it was shown that the efficiency is highly correlated with the peak surface temperature.
Figure 71 shows the surface temperature of two coatings and metal baseline, with their
corresponding bulk gas temperatures. The performance is evaluated from three main
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aspects: the IVC temperature, the gross indicated thermal efficiency, and the mixture’s
equivalence ratio.
Figure 71: Bulk gas and piston surface temperature at 15 bar IMEPg and 1.6 bar intake pressure.
Figure 72 shows the IVC temperatures (on the top row of subplots), which is the
metric to evaluate the charge heating and charge density at IVC. At a boost level of 1.6 bar
(the figure on the top left), the temperature swing coating has a 24 K charge heating penalty,
whereas the traditional coating incurs more (38 K) charge heating due to the higher
temperature throughout the engine cycle. As a consequence of charge heating, the
equivalence ratio increased (shown in the bottom left plot), which may cause deteriorated
combustion and emissions performance. Alkidas et al. have shown that the engine with
traditional coating had equal or superior fuel consumption compared to the metal baseline.
However, significantly higher NOx emissions were reported and speculated as a sign of
altered mixture’s property (i.e., a richer mixture) and a deteriorated combustion process
[113]. In addition, if the load is limited by the equivalence ratio, the power density would
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be decreased by ~4% and ~8% for temperature swing coating and traditional coating,
respectively.
Figure 72: IVC temperature and equivalence ratio at different boost levels
The coatings’ performances were not ideal at a lower boost pressure, but the swing
coating still shows a 0.6% percentage points improvement in thermal efficiency (can be
observed from Figure 73). The traditional coating has less efficiency gain due to a richer
mixture (lower 𝛾 ) and possibly more heat transfer losses because of a higher gas
temperature. However, this improvement is purely thermodynamic, which means that this
model would not capture the possible deterioration of combustion due to altered air
utilization. Therefore, it is premature to confirm the validity of the efficiency improvement
with a higher equivalence ratio.
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Figure 73: Gross indicated thermal efficiency at different boost levels
When looking at the 3.5 bar boost case, the charge heating has been significantly
reduced for both coatings, where the temperature swing coating resulted in only ~10 K
charge heating penalty, and the traditional coating has 22 K of charge heating. The
equivalence ratio for temperature swing coating is actually lower than the metal baseline
despite the charge heating due to higher efficiency; therefore, less fuel was required to
maintain the same load. However, the traditional coating has a higher φ than the metal
baseline. The 3.5 bar boost increases efficiency for all cases, including the metal baseline.
The improvement of coating cases was more pronounced (by an extra one percentage point
compared with the metal baseline) due to the additional charge heating reduction. The
improvement for temperature swing coating could be considered valid because the
equivalence ratio falls below the metal baseline, which is not likely to cause any
deterioration of combustion, and the thermal efficiency benefit became 1.6 percentage
points (3.5% relative) at this boost level. It is important to note that the combustion
efficiency is likely to increase with any type of TBC. Since the 0D single-zone model does
not accurately capture combustion efficiency changes, especially when the thermal
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boundary layers are affected, future CFD or experimental works are expected to shed light
on potential combustion efficiency improvements with TBCs. Figure 74 shows that the
equivalence ratio transitions from increasing with the Gen.2 TBC compared to the metal
baseline to decreasing with the Gen.2 TBC compared to the metal baseline as intake
pressure increases. It can be observed that both coatings started with a higher ϕ than the
metal baseline at low boost levels. However, as the boost level rises, the swing coating and
metal baseline reach a breakeven point (at ~2.9 bar). Therefore, it can be implied that before
that level of boost, a charge heating penalty has occurred that reduced the power density.
When the pressure increases above 2.9 bar, although the IVC temperature could still be
higher than the metal baseline, the same engine load can be achieved with the same ϕ (i.e.,
less fuel) because the engine operates more efficiently. Note that if the improvement of
combustion efficiency is also considered, a slightly lower breakeven level is expected.
Figure 74: Boost pressure v.s. equivalence ratio.
A comparison among temperature swing coating, traditional coating, and steel baseline.
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Overall, it is evident that the thick temperature swing coating outperformance the
traditional insulation in terms of thermal efficiency and managing charge heating. The
following section will provide more details about the impacts of coating coverage.
8.4 Valve heat transfer estimation and coating coverage investigation
A thorough coating coverage study necessitates an estimation of valve heat transfer.
Although engine valves have complex geometry and a 1D assumption may not be perfect,
it is still fairly reasonable when considering the front surface temperature prediction. The
computational study from Shojaefard et al. has shown that after reaching steady-state, the
temperature was distributed quite evenly in the horizontal plane despite a small area of
local inhomogeneity around the valve seat, i.e., the temperature changes mostly from
bottom to top but not horizontally [114]. Thus, a similar 1D transient heat transfer
framework was adopted again to study the engine valves, but with several additional
boundary conditions shown in the figure below. Since valve heat transfer consists of
multiple sources and types of interaction, an estimated valve heat transfer breakdown is
shown below on the left.
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Figure 75: Engine valves heat transfer breakdown (left) and schematic of 1D modeling (right)
On one side of the valve (shown as the top of the modeling framework schematic
on the right side of Figure 75 or shown as the bottom of the valve front on the left side of
Figure 75), the convective heat transfer happens from combustion gas to the valve front
face, and the heat transfer coefficient (ℎ𝑓𝑟𝑜𝑛𝑡,𝐶𝐹𝐷) was adopted from CFD outputs (e.g.,
yellow and purple lines in Figure 65). Three heat transfer sources were considered on the
backside: conduction heat transfer to the valve seat, convective heat transfer from the back
surface to either the intake or exhaust gases, and heat transfer from the valve stem to the
oil film/stem guide. The values of heat transfer coefficient, seat, and oil film temperature
were adopted from the literature ([115] and [116]). The backside gas convective heat
transfer coefficient and gas side temperature were also imported from CFD outputs. The
heat fluxes of different boundary conditions mentioned above are shown in Figure 76.
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Figure 76: Heat fluxes from different boundary conditions at 2500rpm, 23.5 bar IMEP.
Left: Intake valves; Right: Exhaust valves
It can be seen from the zoomed-in box that the heat flux to valve seats was
significantly reduced during the gas exchange period because the valves were not in contact
with the seats; therefore, the conduction heat transfer to the valve seat changes to
convective heat transfer from the flowing gas. The backside gas heat flux increases during
the same period due to the fluid flow. As a result, the simulated surface temperatures for
each chamber component are shown in Figure 77.
It was shown that the valves have a much higher temperature than the piston, mostly
because the piston and was cooled by oil squirter on the backside. For the metal baseline,
the intake valve was almost consistently ~60 K cooler than the exhaust valve at this load
condition because of the backside charge cooling by the fresh charge as opposed to exhaust
gases for the exhaust valve. This is a reasonably good estimation when comparing with the
boundary condition generated by GT-SUITE software [117]. The swing was lower on the
valve because of the high average temperature and reduced heat flux. It is important to note
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that the maximum temperatures of either GdZr or the Gen.2 candidate were approaching
1000 K and 1100 K, and the temperature peaks locally could be much higher than these
averaged values, which raises the concern about coating durability since a temperature limit
of ~1300K for both of these materials was reported. A 3D FEA approach would be required
to evaluate the local peak temperature, but the coating durability and stress analysis are out
of the scope of the current dissertation. Overall, the surface temperature estimations have
been established for each chamber component. Next, a coating coverage investigation will
be performed.
Figure 77: Coated and baseline surface temperature of piston and valves at 2500rpm, 23.5 bar IMEP.
It is feasible to apply either thermal sprayed or solution sprayed coating onto the
piston surface, engine head, and valve surface. However, applying a TBC to the liner is
less straightforward, and realistically, the TBC could only be applied from the top to the
first ring land when the piston reaches the TDC. The rest of the liner can not be covered
because of the piston ring-liner interaction and oil lubrication. Figure 78 shows a coating
coverage schematic that was studied in this section. Although the coverage on liner could
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be more difficult than other components, it is still investigated numerically to determine
the potential gains and tradeoffs.
Figure 78: Possible TBC coverage in the combustion chamber
The gross indicated thermal efficiency with different coverages and materials is
shown in Figure 79 on the left, and the gain ratios of each component are shown on the
right. It can be observed that increasing the TBC coverage increases thermal efficiency.
The number on each column portion represents the additional gain from the last coverage
case. For example, the +0.13 percentage points (pp) for “+ Cover Head” corresponds to
covering the head with GdZr in addition to the piston and means that the efficiency gain
was 0.13 percentage points compared to the only piston-covered case labeled “Cover
Piston”. The total gain compared to the metal baseline for covering the head and piston is
0.49 percentage points. In this way, the efficiency benefits of covering each individual
component can be compared. At this load, covering the piston has the most gain for both
coating materials (~ 60% of full coverage gain, shown in the pie chart on the right).
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Although the head and valves have almost identical areas (Avalves : Ahead = 50.3% : 49.7%),
the benefit of covering the head (~22% of full coverage gain) was more pronounced than
covering all four valves (~15% of full coverage gain). This was because the valves already
have a high temperature and low heat flux; therefore, the relative temperature swing (i.e.,
the temperature difference between the coating surface and the original uncoated surface)
was lower than the head, resulting in a smaller efficiency improvement. Coating the liner
is an extreme approach that requires a significant amount of effort, and the modeling results
show that the payback was very small due to the small area and low heat flux. Therefore,
it is not worth coating the liner clearance. The total efficiency improvement, excluding the
liner coverage, is 0.56 percentage points (1.2% relative) and 0.92 percentage points (2.0%
relative) by GdZr and the Gen.2 candidate, respectively.
Figure 79: Left: Gross indicated thermal efficiency for different coverage @ 2500rpm, 23.5 bar
IMEPg Right: Efficiency gain ratio distribution
From Figure 80, it seems that the head has a higher relative swing than the piston.
This is because the head substrate is aluminum, which has six times the conductivity of
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steel. In other words, the heat could be dissipated much faster by the coolant on the
backside, and therefore the temperature of the aluminum head was much lower than the
steel piston. Once the coating is applied, it blocks the heat transfer from both sides, i.e., the
hot gas and cold aluminum, and the relative swing is more pronounced. Despite the
existence of a higher relative temperature swing, Figure 79 shows the gain from the head
are less than that from the piston because the head has less area and combustion occurs
closer to the piston in GCI, which increases the local turbulence and results in a higher
convective heat transfer coefficient.
Figure 80: Relative temperature swing for piston, head, and valves with 200 microns GdZr @
2500 rpm, 23.5 bar IMEPg
An example of how different substrates affect the relative temperature swing is
shown in Figure 81. The same boundary conditions, effective metal thickness, and TBC
properties were applied to both aluminum and steel. It can be seen that without the coating,
the steel piston was ~140 K hotter than the aluminum piston, which infers that the steel
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piston is likely to have a higher thermal efficiency due to the hotter surface temperature.
Schaedler et al. have tested the piston with steel and aluminum under the same operating
condition, and it was found that the steel piston had a ~5% (relative) improvement in fuel
consumption [118]. The improvement was reported as the result of decreased piston-bore
clearance and better dimensional stability of steel. However, this simulation result also
implies that it is likely that higher surface temperatures also played and important roles in
that efficiency improvement.
When a 200 microns GdZr was applied, the aluminum-based and steel-based piston
temperature differences were reduced to 60~70K. As a result, the aluminum piston has a
much higher relative temperature swing, which means that the potential TBC improvement
could be more pronounced when using an aluminum substrate rather than steel. This does
not explicitly mean that the aluminum piston with the coating will have higher efficiency
than that of steel piston, it only implies that the aluminum substrate could achieve a higher
efficiency gain by applying TBC on the surface.
Figure 81: The effect of substrate on coating performance
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As learned from the above cases, the individual heat flux to each component and
substrate material governed the efficiency improvement. Thus, the gain ratio could be
different when operating condition changes. Figure 82 shows that the gain ratio shifted
toward the firedeck coverage at a lower operating condition. At 23 bar, coating the piston
gets more benefits because of the significantly higher heat flux to the piston. When
operating at 6 bar in GCI with more uniformed (HCCI-like) heat flux to each component,
the full coverage on firedeck became more rewarding due to the aluminum substrate (for
head) and increased heat flux for valves.
Figure 82: Efficiency gain distribution at different loads. Left: 23.5 bar IMEPg. Right: 6 bar IMEPg
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Figure 83 shows the relationship between thermal efficiency and relative charge
heating (i.e., IVC temperature compared to metal baseline). At the same level of efficiency
gain, the full coverage case incurs much less charge heating than using a thicker coating
applied only on the piston. Therefore, coating the full piston and firedeck was
recommended regardless of the operating condition. Coating thickness for each component
was determined by local maximum temperature (for durability consideration), intake
charge heating, and the mixture's equivalence ratio. Although this work found that thick
TBCs do not incur as much charge heating penalty as the traditional combustion modes
because of the high intake boost and overall lean operation, it is still not recommended to
incur excessive charge heating, which may affect the mixture’s properties and air
utilization for diffusive combustion. It is important to note that the coating thickness on
individual chamber components can be different due to their own substrate material and
cooling strategies.
Figure 83: Gross indicated thermal efficiency v.s. relative charge heating
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CHAPTER 9. CONCLUSIONS AND UNIQUE CONTRIBUTIONS
9.1 Summary and conclusions
In-cylinder thermal barrier coatings (TBCs) have great potential to reduce heat transfer
losses and increase thermal efficiency. It had been previously shown that thick TBCs
negatively impact the performance of conventional combustion modes by reducing
volumetric efficiency and increasing end-gas knock tendency. Due to the nature of kinetics-
driven combustion, low-temperature combustion (LTC) is fundamentally different from
the conventional combustion modes, where these issues may not apply. Therefore, it was
desired to explore the favorable coating configurations for LTC systematically. This thesis
dissertation explored and evaluated TBCs in LTC from a different perspective: thick,
temperature swing coatings. The key hypothesis is that kinetic-driven combustion requires
certain thermodynamic prerequisites to achieve autoignition, where the charge heating
associated with thick TBCs becomes beneficial for fulfilling these prerequisites along with
additional efficiency and emissions benefits.
This thesis was majorly four-fold: The first goal was to experimentally demonstrate
and comprehensively investigated the effects of thick thermal barrier coatings on pure-
HCCI combustion with two different fuels. Second, a parametric computational
investigation into the effects of various coating properties on pure-HCCI combustion was
performed. Since LTC contains a large family tree ranging from HCCI to stratified LTC
such as GCI, it was desired to explore TBC with GCI in addition to HCCI. The first step
was to understand the GCI combustion process with an experimental investigation into PFS
combustion and injection strategy. Finally, a goal of the dissertation was to establish a
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preliminary guideline for TBCs with GCI via thermodynamic modeling. In general, it was
shown that thick thermal barrier coatings have great potential and benefits to work with
various low-temperature combustion modes. An overview of the key findings are listed as
follows:
9.1.1 Demonstration and justification – Comprehensive experimental investigation of
thick thermal barrier coatings for pure-HCCI
Experiments were conducted on a light-duty single-cylinder research engine to investigate
the effects of thick thermal barrier coatings on pure-HCCIwith different fuels. The study
mainly focuses on three aspects:
• The effects of TBC thickness and surface finish (with or without dense sealing
layer) on gasoline pure-HCCI
• The potential benefits of TBCs when using an alternative fuel with a high latent
heat of vaporization (wet ethanol 80)
• The interaction between the hot TBC surface and spray of WE80.
In order to achieve a comprehensive investigation, five pistons were tested including:
1. A metal piston baseline at a CR of 15.8;
2. A metal piston baseline at a CR of 14;
3. A 1mm TBC piston at a CR of 14.7 with a dense sealing layer applied to the coating
surface;
4. A 2mm TBC piston at a CR of 15.2 with a dense sealing layer applied to the coating
surface;
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5. A 2mm TBC piston at a CR of 15.0 without the dense sealing layer applied to the
coating surface;
Two fuels were examined and compared for the pistons listed above: an 87-AKI gasoline
and an alternative biofuel with high cooling potential – Wet Ethanol 80. A full load sweep
was conducted with each fuel on each piston. The conclusions are as follow:
• Thick TBCs extend the low load limit by 14.8% with gasoline, and 15.4% with WE80
by improving combustion efficiency. No deterioration of the high load limit was
observed.
• There was no discernible impact by the TBCs on the burn duration or heat release
process.
• The combustion efficiency increases with TBC thickness. The increment is up to 1.5
percentage points with both gasoline and WE80. The gasoline cases experience the
most benefits at low load (2 to 3 bar IMEPg), while the WE experiences the most
benefits at mid-to-high load (3 to 4.5 bar IMEPg).
• Higher thermal efficiencies were achieved with TBCs. Increasing the TBC thickness
reduces heat transfer losses and improves thermal efficiency. Due to the improved
combustion and thermal efficiencies, the fuel conversion efficiency increased by up to
4.3% with WE 80, and 3.8% with gasoline.
• The dense sealing layer reduces surface porosity and improves UHC emissions and
combustion efficiency.
• With the 2mm TBCs, the intake temperature requirement was reduced by 15 K with
gasoline, and 10 K with WE80.
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• Spray/TBC impingement amplifies any effect that was caused by switching from cold
metal piston surface to hot coated surface in terms of the fuel evaporation.
• In general, TBCs do not significantly affect the exhaust temperature in LTC. This is
due to a variety of competing thermodynamic factors.
In this study, only the piston was coated, which means that all of the potential benefits such
as the efficiency gains, emissions reduction, lower intake temperature requirements, etc.
could be amplified if the engine head and valves were also coated.
9.1.2 Deep dive into the fundamentals – A parametric computational investigation into
the effects of various coating properties for pure-HCCI
An 0D single-zone thermodynamic model was established and coupled to a 1D heat
conduction solver to explore TBC properties' effects on pure-HCCI fundamentally. The
model is first validated against experimental results with an aluminum piston, followed by
validation against experimental results with a 2mm TBC-coated piston. Three parameters
were then thoroughly investigated, including thermal conductivity, thickness, and
volumetric heat capacity. Six load conditions were selected and matched from 2.0 bar to
4.5 bar IMEPg in increments of 0.5 bar. The following conclusions can be drawn:
• The effects of TBCs on pure-HCCI are distinct from the conventional combustion
modes.
• Increasing thickness with a low-𝑘 material leads to considerable improvements to
efficiency, reductions in the required intake temperature, and an improvement in the
exhaust flow enthalpy. Low volumetric heat capacity is desired to promote temperature
swing, thus further increasing efficiency.
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• In pure-HCCI, any coating that reduces compression stroke heat transfer allows for
lower IVC temperatures which actually increases charge density, which is opposite of
the trend with the conventional combustion modes. This effect was most noticeable
with thick TBCs, although low conductivity TBCs also reduce compression stroke heat
transfer.
• In general, TBCs do not significantly affect the exhaust temperature in pure-HCCI.
This is due to a variety of competing thermodynamic factors. The exhaust flow
enthalpy does increase due to the increased mass flow rates with TBCs.
• Increasing thickness elevates the average surface temperatures and slightly lowers the
temperature swing. Reductions in thermal conductivity elevate the average surface
temperature and increase the magnitude of temperature swing (mostly for very low
conductivity values). Reductions in volumetric heat capacity do not affect the average
surface temperature, but they do increase the temperature swing.
• In pure-HCCI, temperature swing is not an important factor to improve thermal
efficiency on its own; instead, elevating the surface temperature is the most important
factor to improve efficiency in pure-HCCI while resolving some of the other challenges.
The most direct mechanism to elevate the surface temperature is to apply thick TBCs
with a low-𝑘 material.
9.1.3 Establishing the understanding of GCI - an experimental investigation of injection
strategies for gasoline PFS
In order to understand the gasoline compression ignition fundamentals, an experimental
study using the PFS combustion strategy was conducted on a single-cylinder light-duty
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diesel engine. This study aims to investigate the features of PFS combustion on a practical
modern light-duty diesel engine with a compression ratio of 16 and at a realistic boost level
of 1.6 bar. Additionally, this study determined the effects of a double late injection (DLI)
strategy on the heat release process and combustion characteristics. The results can be
divided into two sections. First, the effects of single late injection (SLI) timings and split
fractions on PFS were presented. Second, the effects of DLI on PFS combustion and the
comparison between DLI and SLI were presented. The following conclusions can be drawn
from the results:
I. At this boost level, the variation of SOI timings between -140 to -80 has almost no effect
on combustion. Injection timing begins to affect the combustion process at and after -60
deg aTDC. Further retarding SOI timing:
• Increases φ-stratification.
• Reduces the PPRR, peak heat release rate, and prolongs the burn duration.
• Decreases the gross indicated thermal efficiency and has almost no effect on
combustion efficiency.
• Increases the requirement of EGR to maintain combustion phasing constant.
• Increases CO and NOx emissions.
• Decreases the UHC emissions from -140 to -50 aTDC, followed by an increase
until -40 aTDC.
Decreasing the split fraction (SF), i.e., increasing the portion of DI fuel injected during the
compression stroke, results in:
• Higher φ-stratification.
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• Lower PPRR and heat release rate, and an extended burn duration.
• Lower gross indicated thermal efficiency and slightly higher combustion efficiency.
• Higher required EGR rate to match combustion phasing.
• Lower UHC emissions but higher CO and NOx emissions.
• The effects of the split fraction are diminishing. SF80 and SF70 have almost
identical effects on PFS combustion.
II. Compared to the maximum stratification level that can be achieved by a single late
injection (SF = 70% & SOI = -40 deg aTDC), the double late injection strategy:
• Increases the φ-stratification and results in a more staggered autoignition event.
• Lowers the PPRR and the peak heat release rate, and elongates the combustion
process.
• Decreases the combustion efficiency, increases the gross indicated thermal
efficiency and the fuel conversion efficiency. However, the thermal and
combustion efficiencies could be improved with a more advanced combustion
phasing.
• Slightly increases the EGR requirement to match combustion phasing.
• Decreases the UHC and NOx emissions but increases the CO emissions.
Increasing the injection spacing and delaying the equivalent SOI timing for the double late
injection strategy both result in:
• Higher φ-stratification but with diminishing returns and the maximum stratification
level merges.
• Lower PPRR and HRR, and a longer burn duration.
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• Lower combustion efficiency but a higher gross indicated thermal efficiency. The
fuel conversion efficiency is approximately constant.
• A slightly higher EGR requirement to match combustion phasing.
• Lower UHC and NOx emissions, and higher CO emissions.
The key conclusion of this work is that the results indicate that separating the compression
stroke injection into a larger number of smaller injections is beneficial for control and for
the global combustion characteristics of PFS.
9.1.4 A preliminary guideline for TBCs with GCI - A computational evaluation
The 0-1D thermodynamic model has been established and collaborated with CFD results
to investigate thermal barrier coatings for gasoline ignition combustion with PPCI-
diffusion combustion strategy primarily at a load of 23.5 bar IMEPg. Two real-world
coating materials were pre-selected as Gen.1 and Gen.2 candidates. The investigation
consists of three main topics: the effect of coating thickness on GCI, the effect of intake
boost on the performance of traditional and temperature swing coatings, and the effect of
combustion chamber coverage on engine performance. Some key findings are listed below:
• Increasing coating thickness increases the thermal efficiency for GCI combustion,
but the increment has a noticeable trend of diminishing return. The rate of
efficiency gain after 500 microns is very low.
• Even with two distinct material properties, it was found that the thermal efficiency
is still linearly correlated with the peak surface temperature at an almost identical
slope.
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• The charge heating was much less than expected. The increased IVC temperatures
were 4.2 K and 6 K for Gen.1 and Gen.2 coating, respectively. The high-level
intake boost is mainly responsible for this low charge heating.
• At a boost level of 1.6 bar, 15 IMEPg, both the traditional and temperature swing
coatings incurred significant charge heating penalties, causing an increased
equivalence ratio, potentially lower power density, and potentially poor air
utilization.
• As boost level increases, the temperature swing coating reached an equivalence
ratio breakeven point at 2.9 bar compared with metal baseline, which indirectly
confirmed the validity of the efficiency gain. However, the traditional coating never
reached the breakeven point, even until 3.6 bar.
• A 1D transient valve heat transfer model was established. A bulk peak surface
temperature of ~1000K was noticed, which raises concerns about the coating
durability.
• Coating the piston and firedeck were very rewarding in terms of efficiency
improvement with low charge heating. However, it is not worth coating the liner
clearance due to a minimal efficiency gain.
• At 23.5 bar, covering the piston results in a larger efficiency gain than the firedeck,
but it was the opposite trend when at a load of 6 bar. This is because of a competing
effect between the high substrate thermal conductivity and heterogeneous heat flux.
• Comparing the steel and aluminum piston, the former is likely to have a higher
efficiency due to higher surface temperature. However, when the coatings are
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applied to the piston, the aluminum piston is likely to experience a higher efficiency
gain due to a larger relative temperature swing.
In summary, low conductivity and low volumetric heat capacity materials are preferred for
any in-cylinder insulation with IC engines, i.e., both conventional and LTC. The optimal
thickness may be different based on the combustion strategy with advanced combustion
strategies generally benefiting from thicker coatings (200μm to ~2mm) and conventional
combustion modes requiring thinner coatings (50 to 200μm).
9.2 Unique contributions
In addition to the conclusions that were listed above, there were some unique contributions
of this thesis that results. These contributions include:
• Proposed and experimentally investigated the effects of thick TBCs on HCCI (with
two different fuels) in terms of engine efficiencies, emissions, load range, intake
heating requirement, and exhaust enthalpies
• Developed a 0D engine cycle thermodynamic model and established a 1D transient
heat conduction model. These two models were then coupled together to
numerically investigate the TBCs’ thermophysical properties and their independent
influence on the thermodynamics of HCCI
• Designed and commissioned a state-of-the-art GCI engine at Clemson University
for the ongoing GCI project with Aramco Services Company as well as future
projects
• Explored gasoline PFS combustion strategy on a light-duty diesel engine at a more
practical boost level (i.e., 1.6 bar) and proposed using a double late injection
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strategy to successfully lower the peak pressure rise rate by ~50% compared to
HCCI operation.
• Investigated the effect of TBCs on GCI through 0D thermodynamic modeling
coupled with 1D wall heat conduction solver. Additionally, this dissertation
explored and provided preliminary guidance of optimal TBC configuration (i.e.,
material and thickness) for GCI combustion
9.3 Suggestion for future work
• The GCI single-cylinder research engine has been 99% commissioned at Clemson
University. It would be great to finalize the engine commissioning and conduct
experimental work of TBC with GCI combustion strategy.
• The optimal coating configuration, e.g., thickness, could be different for different
chamber components and operating conditions. This necessitates drive cycle level
optimization to determine the best coating candidates.
• It has been shown that the favorable coating properties are different from HCCI to
GCI, and there are many other types of LTC modes such as RCCI, TSCI, etc.
Therefore, new coating configurations will need to be explored with other low-
temperature combustion modes.
• The valve simulation study revealed the potential critical temperature for coating
durability. Thus, a detailed temperature and stress analysis would be required for
the local peak temperature and coating durability. A CFD-FEV collaboration
method can be a good approach to shed light on this area.
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• A low conductivity and low volumetric heat capacity coatings are desired in any
engine application. The current state-of-the-are coatings are located on the start of
the line of the exponential growth area, where further coating property
improvement could be significantly rewarding.
• The PFS work shows that optimizing the injection strategy could authorize more
potential for controlling the combustion process. However, injection strategy is
only one of the aspects to optimize; therefore, thorough studies on injection angle,
pressure, piston geometry, swirl, etc., are desired to gain more control over the
combustion process.
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PUBLICATIONS
Thesis publications
1. Yan, Z., Gainey, B., Gohn, J., Hariharan, D., Saputo, J., Schmidt, C., Caliari, F., Sampath, S. and Lawler, B., 2020. The Effects of Thick Thermal Barrier Coatings on Low-Temperature Combustion. SAE International Journal of Advances and Current Practices in Mobility, 2(2020-01-0275), pp.1786-1799.
2. Yan, Z., Gainey, B., Gohn, J., Hariharan, D., Saputo, J., Schmidt, C., Caliari, F., Sampath, S. and Lawler, B., 2021. A comprehensive experimental investigation of low-temperature combustion with thick thermal barrier coatings. Energy, 222, p.119954.
3. Yan, Z., Gainey, B. ., and Lawler, B., “A parametric modeling study of thermal barrier coatings in low-temperature combustion engines.” under review
4. Yan, Z., Gainey, B., Hariharan, D. and Lawler, B., 2020. Improving the controllability of partial fuel stratification at low boost levels by applying a double late injection strategy. International Journal of Engine Research, 22(4), pp.1101-1115.
Other publications
5. Yan, Z., Gainey, B., Hariharan, D., and Lawler, B., "Investigation into reactivity separation between direct injected and premixed fuels in RCCI combustion mode," In ASME 2019 Internal Combustion Engine Division Fall Technical Conference, ICEF2019-7130.
6. Gainey, B., Hariharan, D., Yan, Z., Zilg, S., Rahimi Boldaji, M. and Lawler, B., 2020. A split injection of wet ethanol to enable thermally stratified compression ignition. International Journal of Engine Research, 21(8), pp.1441-1453.
7. Hariharan, D., Gainey, B., Yan, Z., Mamalis, S., & Lawler, B. (2019, October). Experimental study of the effect of start of injection and blend ratio on single fuel reformate RCCI. In Internal Combustion Engine Division Fall Technical Conference (Vol. 59346, p. V001T03A011). American Society of Mechanical Engineers.
8. Gainey, B., Yan, Z., Gohn, J., Boldaji, M. R., & Lawler, B. (2019). TSCI with wet ethanol: an investigation of the effects of injection strategy on a diesel engine architecture (No. 2019-01-1146). SAE Technical Paper.
9. Gainey, B., Gohn, J., Yan, Z., Malik, K., Boldaji, M. R., & Lawler, B. (2019). HCCI with wet ethanol: investigating the charge cooling effect of a high latent heat of vaporization fuel in LTC (No. 2019-24-0024). SAE Technical Paper.
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10. Hariharan, D., Boldaji, M. R., Yan, Z., Mamalis, S., & Lawler, B. (2020). Single-fuel reactivity controlled compression ignition through catalytic partial oxidation reformation of diesel fuel. Fuel, 264, 116815.
11. Gainey, B., Yan, Z., Rahimi-Boldaji, M., & Lawler, B. (2019, October). On the Effects of Injection Strategy, EGR, and Intake Boost on TSCI With Wet Ethanol. In Internal Combustion Engine Division Fall Technical Conference (Vol. 59346, p. V001T03A006). American Society of Mechanical Engineers.
12. Gainey, B., Yan, Z., Moser, S., Vorwerk, E. and Lawler, B., 2020. Tailoring thermal stratification to enable high load low temperature combustion with wet ethanol on a gasoline engine architecture. International Journal of Engine Research, p.1468087420945960.
13. Gainey, B., Yan, Z. and Lawler, B., 2021. Autoignition characterization of methanol, ethanol, propanol, and butanol over a wide range of operating conditions in LTC/HCCI. Fuel, 287, p.119495.
14. Gainey, B., Yan, Z., Moser, S. and Lawler, B., 2021. Lean flammability limit of high-dilution spark ignition with ethanol, propanol, and butanol. International Journal of Engine Research, p.1468087421993256.
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APPENDIX A
Figure 84: Fuel conversion efficiency vs. IMEPg for gasoline (solid lines) and wet ethanol (dashed lines)
196
Figure 85: Gross heat release rate (bottom) & pressure trace (top) vs. crank angle degree at different SOI timings
198
Figure 87: Sweep the properties in order of k, s, and thickness
Figure 88: GHRR & cylinder pressure for SOI sweep at a split fraction of 70