Micro-Gas Turbine Engine Ejector-Mixer Design and...
Transcript of Micro-Gas Turbine Engine Ejector-Mixer Design and...
Micro-Gas Turbine Engine Ejector-MixerDesign and Testing
Final Report
16.621
Fall 2001
Author: Nathan Fitzgerald
Advisor: Prof. Alan Epstein Partner: Mark Monroe
December 11, 2001
Contents
1 Abstract 1
2 Introduction 1
2.1 Background . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
2.2 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
3 Objectives 3
4 Technical Background 3
4.1 Ejector-Mixer Theory . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . 3
4.2 Previous Research .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
5 Experimental Approach 7
5.1 Testing Rig . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
5.2 Component Design. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
5.2.1 Ejector Design . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . 9
5.2.2 Mixer Design . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . 9
5.2.3 Convergent Duct Design. . . . . . . . . . . . . . . . . . . . . . . . . . . 10
5.2.4 Instrumentation . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . 10
5.3 Text Matrix . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
5.4 Experimental Procedure . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . 13
6 Results 14
6.1 Pumping Parameter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
6.2 Mixing Parameter .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
6.3 Temperature Reduction . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . 16
7 Discussion 19
7.1 Pumping Parameter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
7.2 Mixing Parameter .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
7.3 Temperature Reduction . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . 20
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7.4 Data Consistency .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
8 Conclusions 20
9 Future Work 22
10 Acknowledgments 22
A Uncertainty Analysis 24
A.1 Corrected Pumping Uncertainty. . . . . . . . . . . . . . . . . . . . . . . . . . . 24
A.2 Mixing Parameter Uncertainty .. . . . . . . . . . . . . . . . . . . . . . . . . . . 26
A.3 Temperature Reduction Uncertainty . . . . .. . . . . . . . . . . . . . . . . . . . 26
B Testing Procedure 29
B.1 Micro-Engine Ejector-Mixer Test Procedure .. . . . . . . . . . . . . . . . . . . . 29
B.2 Sample Data Sheet. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
C Numerical Analysis 32
C.1 performance.m . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
C.2 test1.m. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48
D Technical Drawings 50
ii
List of Figures
1 Micro-Gas Turbine Engine . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . 2
2 Ideal Ejector Mixer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
3 Model Pumping Performance . .. . . . . . . . . . . . . . . . . . . . . . . . . . . 5
4 Symmetric Mixer Lobe . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . 6
5 WNEC Mixer Performance Results . . . . . .. . . . . . . . . . . . . . . . . . . . 7
6 Convoluted Mixer Lobe . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . 7
7 Test Rig . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
8 Side View of Ejector Design . .. . . . . . . . . . . . . . . . . . . . . . . . . . . 10
9 Free Splitter and Convoluted Mixer Designs .. . . . . . . . . . . . . . . . . . . . 11
10 Convergent Duct .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
11 Instrumentation Schematic . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . 12
12 Test Matrix . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
13 Corrected Pumping Performance. . . . . . . . . . . . . . . . . . . . . . . . . . . 15
14 Mixing Performance . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . 17
15 Temperature Reduction . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . 18
16 Comparison with Western New England College Data. . . . . . . . . . . . . . . . 21
17 Pumping Performance w/ Uncertainties . . .. . . . . . . . . . . . . . . . . . . . 25
18 Mixing Performance w/ Uncertainties . . . .. . . . . . . . . . . . . . . . . . . . 27
19 Temperature Reduction w/ Uncertainties . . .. . . . . . . . . . . . . . . . . . . . 28
List of Tables
1 System Measurements . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . 12
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1 Abstract
This study investigates the effect of low Reynolds number operation on ejector-mixers in the con-
text of their compatibility with the micro-gas turbine engine under development at MIT’s Gas
Turbine Laboratory. The high exhaust temperatures of the micro-engine inhibit its integration into
consumer devices. This research tests a possible solution to that problem, an ejector-mixer that
operates at the near-transitional Reynolds numbers experienced by the engine. A test rig was con-
structed in which a pipe directed a 350�K air stream at high and low Reynolds number through
ejector-mixers of varying geometry. The experiments show that the performance of an ejector-
mixer substantially improves at low Reynolds number and can be augmented still by forced mix-
ing. The effect could contribute substantially to the reduction of the exhaust temperature in the
micro-gas turbine engine.
2 Introduction
2.1 Background
Since the mid 1990’s, the Gas Turbine Laboratory at the Massachusetts Institute of Technol-
ogy has been developing miniature gas turbine engines using micro-electro-mechanical systems
(MEMS) technology.1 Silicon or silicon carbide wafers are etched using photo lithography into
two-dimensional layers that are then stacked and bonded together to form a three-dimensional de-
vice. The final device is just 2 cm in diameter and 3 mm thick. A schematic of the micro-engine
appears in Figure 1. At about one thousandth the linear scale of larger, conventional gas turbines,
the micro-engine is designed to produce either tens of watts of electrical power or 0.1 N of thrust
from its hydrocarbon fuel.
The uses for such a small engine are numerous and varied, from providing propulsion for
miniature aerial vehicles to controlling boundary layers of commercial aircraft. In particular, one
promising application for the device is as an alternative to conventional batteries for personal elec-
tronic devices such as cellular phones and personal GPS devices. With 20 to 30 times the energy
density of conventional lithium batteries, a hydrocarbon fueled micro-engine generator offers to
1
Figure 1: Micro-Gas Turbine Engine
expand the range and capabilities of personal electronic systems. However, the use of the micro-
gas turbine engine in such devices is hindered by the the high temperature exhaust ejected by the
engine. Under the current design, the exhaust temperature of an engine operating as a generator
will exceed 900 degrees Kelvin. This temperature makes applications that involve plastics or close
human contact impractical.
2.2 Motivation
In order for the application of micro-gas turbine engine as a power plant for personal electronic de-
vices to be realized, a method of cooling the exhaust jet must be developed. In certain commercial
and military gas turbine engines, this is done by attaching a device called an ejector-mixer at the
exit of the turbine. In addition to exhaust temperature reduction, attributes of the device include
noise reduction and thrust augmentation. The ejector uses the momentum of the exhaust to pump
in a secondary flow of ambient temperature air. The secondary and primary flows are then mixed
over a surface of complex geometry, transferring heat and momentum to the secondary flow. The
device also affects the static pressure at the exit of the turbine, thus affecting the power capabilities
of the engine.
Conventional ejector-mixers operate at very high Reynolds numbers, much higher than the
2
transition number for jet flow. An ejector mixer for the micro-engine, however, would operate very
close to the transition regime, where the viscous effects that govern the performance of the ejector-
mixer differ from those in the turbulent regime. Although theoretical models exist that allude to
the behavior of ejector-mixers at low Reynolds numbers, the existence of empirical data at such
conditions would greatly aide in design of and ejector-mixer for use with the micro-gas turbine
engine.
3 Objectives
The primary objective of this project was to characterize the performance of ejector-mixers at low
Reynolds numbers. Tests were conducted on scaled-up versions of micro-engine ejector-mixers
of varied design at both low and high Reynolds numbers. Pressure, temperature, and mass flow
obtained from those tests were used to determine the performance of each design in terms of tem-
perature reduction, secondary to primary flow pumping, and mixing metrics. Cross comparisons
were then made with regard to testing condition, device design, and ideal performance. The end
result serves as a base of knowledge useful to the design of a micro-gas turbine engine ejector-
mixer.
4 Technical Background
4.1 Ejector-Mixer Theory
As the name suggests, an ejector-mixer is composed of two parts: the ejector, and the mixer.
The ejector is the shroud in which the engine exhaust primary flow and the ambient conditioned
secondary flow meet and mix. The momentum of the primary flow pumps the secondary flow into
the ejector shroud. Once inside the shroud, viscous interaction between the two flows cause then
to mix, transferring momentum and energy between them.
The following model can be used to anticipate the performance of an ejector-mixer operating
under incompressible conditions. The primary and secondary mass flows are assumed to travel
isentropically from their sources, the engine exhaust pipe and the ambient air respectively, to the
3
Figure 2: Ideal Ejector Mixer
inlet of the ejector shroud. The primary and secondary flows enter the ejector at their own re-
spective uniform velocities and exit the shroud at a single uniform velocity, corresponding to the
complete mixing of the two streams. The pressure at the plane of the primary flow exit and the
pressure at the exit of the ejector are both assumed to be uniform. A schematic of this model
ejector appears in Figure 2.
Under these assumptions, the performance of the ejector is simply a function of its geometry
and ambient conditions. In particular, the ratio of primary mass flow to secondary mass flow,
_ms= _mp is a function of the primary to secondary area ratio,As=Ap, and the stagnation temperature
ratio of the two flows,Tts=Ttp:
TtsT(tp)
(_ms
_mp
)2((Ap
As
)2 + 1) +
sTtsTtp
_ms
_mp
� 4� 2(Ap
As
) = 0: (1)
The parameter_ms
_mp
qTtsTtp
allows the pumping performance to be investigated independently of
temperature, allowing researchers to conduct ejector pumping tests at convenient primary and sec-
ondary total temperatures.3 Figure 3 displays this parameter as a function of area ratio.
In a real device, the temperature, pressure, and velocity profiles will not be uniform. Therefore,
it is useful to define a mixing parameter to quantify the degree of uniformity in the exit stream.
The parameter chosen in this study is defined as follows:
� =
RT 22 dA2
A2 � �T22 (2)
4
0 1 2 3 4 5 6 7 8 9 100
0.5
1
1.5
2
2.5
3
Area Ratio
Cor
rect
ed P
umpi
ng R
atio
Figure 3: Model Pumping Performance
whereT2 is a discrete temperature at the exit of the ejector,�T2 is the average temperature at the
exit, andA2 is the exit area. A� of unity signifies complete mixing and uniform temperature and
velocity distributions.� increases from unity with increasingly non-uniform exit flow.
The mixer is a device that controls the interaction of the primary and secondary flows. At its
simplest, a mixer is a pipe from which the primary flow exits to meet with the secondary flow. This
is called a free splitter. More complicated designs, such as the mixer seen in Figure 4, augment
the mixing process by increasing the effective surface contact area between the two flows. This is
done in two ways. First, the curved shape of the mixer increases the surface area over which the
primary and secondary flow meet. Secondly, many geometries generate off-axis vorticity which
even further increases the effective contact area. Forced mixing has been proven to decrease the
ejector length needed for complete mixing and to increase the pumping ratio of a given ejector
geometry.9
5
Figure 4: Symmetric Mixer Lobe
4.2 Previous Research
Ejector-mixers have been given a good deal of attention in the last few decades, especially with
regards to their application as a solution to the high order problem of jet aircraft noise. The work of
Walter M. Presz at Western New England College has shown that forced mixing increases pumping
rates and shortens required ejector lengths. Presz also conducted parameter studies on various types
of mixers, characterizing and classifying their performance.9 Figure 5 displays the results from one
such study, showing pumping as a function of the mixer geometry parameters of lobe angle and
penetration. Penetration refers to the depth through which the mixer protrudes in to the primary
and secondary flows. A mixer with zero penetration is essentially a free-splitter. The lobe angle
basically describes how steeply that penetration is achieve. Again, a lobe angle of zero means
that the mixer is essentially a free-splitter. For the conditions conducted in Presz’s experiments,
asymmetric and high penetration mixers produced the most ideal performance. These two types of
mixers employ strong off-axis vorticity to enhance mixing.
At high Reynolds numbers, the work of David Tew at MIT’s Gas Turbine Laboratory confirmed
that of Presz, that off-axis vorticity increases pumping efficiencies.7 However Tew notes that the
effect of that vorticity diminishes as shear layer growth rate increases. At low Reynolds numbers,
viscous effects are quite strong and unforced mixing occurs rapidly between two flows. Therefore,
the additional surface contact area obtained by the swirling of the primary and secondary flows
has less of an effect on the pumping ratio in comparison with the negative effects of the off-axis
vorticity, like decreased thrust in a propulsion system. One alternative to vorticity inducing forced
6
Figure 5: WNEC Mixer Performance Results
mixers is a convoluted mixer, seen in Figure 6. This mixer increases the surface contact area of the
primary and secondary flows, but doesn’t induce large amounts of off-axis vorticity.
5 Experimental Approach
In order to characterize the performance of ejector-mixers at low Reynolds numbers, tests were
conducted on a number of ejector and mixer geometries for both transitional and fully turbulent
primary flows. To approximate the running conditions of a micro-gas turbine engine, the cross sec-
Figure 6: Convoluted Mixer Lobe
7
Figure 7: Test Rig
tional area of the primary flow was designed represent a five times linear scaling from the projected
jet area of the micro-engine. The increase in size eased the difficultly of test component construc-
tion and allowed for better spatial resolution with the instrumentation. Test were conducted in lab
space in the Gas Turbine Laboratory at MIT.
5.1 Testing Rig
A photograph of the test set-up appears in Figure 7. Air entered the setup from an oil free com-
pressor then passed though a rotameter. The flow was heated to 350�K by a ceramic heater and
then passed thorough a conditioning screen, after which it entered a convergent duct to reduce the
area of the flow to the scale of the experiment. On the low Reynolds number tests, additional heat-
ing tape was wrapped around the piping to prevent heat conduction loss to the piping. From the
convergent duct, it passed thorough the primary flow pipe, which terminated at the opening of the
test ejector. The test mixer was attached to the end of primary flow pipe. The primary flow then
entered the ejector shroud, drawing in a secondary mass flow. The mixed primary and secondary
flows left the rig at the exit of the ejector.
8
5.2 Component Design
Most of the test rig was constructed of standard copper piping, coupling, and mounts, but parts of
three sections needed to be specially designed to function in the experiment. This section contains
a summary of the design choices for those components. Engineering drawings of all manufactured
components appear in Appendix D.
5.2.1 Ejector Design
There are a total of four ejector designs tested in this experiment. The ejector designs were chosen
such that correlations may be drawn between low Reynolds number performance and well under-
stood high Reynolds number performance. A schematic of one of the designs appears in Figure 8.
The work of Presz4 shows that although ideally pumping increases indefinitely with area ratio,
empirically pumping begins to diminish for area ratios greater than 3. Therefore the four ejectors
were constructed with secondary to primary area ratios of 1 and 3. Ejector length to diameter ratios
of 1 and 4 reflect the scope of experiments made at macro scale, and thus have been incorporated
into the scope of this experiment as a basis for comparison.
The last main design consideration with the ejectors was that the secondary flow must enter
them smoothly. An elliptical inlet was therefore designed to prevent separation. It was confirmed
that the geometry prevented separation by a computational fluid dynamics code. All ejectors were
machined from aluminum alloy.
5.2.2 Mixer Design
Two mixer designs were chosen to investigate low Reynolds number effects on ejector perfor-
mance. The first was a free splitter, seen on the left of Figure 9. This design offers no forced
mixing and can be used to determine the baseline effect of low Reynolds number. It was machined
out of aluminum alloy.
The second is a version of the convoluted mixer described in Section 4.2. An isometric drawing
of this mixer appears on the right in Figure 9. The viscous effects of the low Reynolds number were
expected to nullify the effect of induced vorticity in the flow, and testing of a convoluted mixer gave
the opportunity to investigate that claim. In accordance with successful practices at macro scale,
9
Figure 8: Side View of Ejector Design
the mixer was designed to cover 75% of the ejector area. Due to the complex geometry of the
mixer, it couldn’t easily be manufactured using standard machining techniques. Instead, C Ideas,
Inc. was contracted to construct the mixer using photo lithography techniques.
5.2.3 Convergent Duct Design
A convergent duct was required to reduce the area of the flow to the size of the primary jet pipe.
An isometric view of this component appears in Figure 10. The primary concern with this com-
ponent was that the flow remain attached throughout the contraction. Flowing the model of Morel
on axisymmetric wind tunnel contractions,8 this is accomplished using a matched pair of cubic
polynomials. These equations appear in the engineering drawings in Appendix D.
5.2.4 Instrumentation
This experiment required information in the form of temperature, pressure, volume flow, and po-
sition data. All of the pressure readings were made using a single Setra digital pressure transducer
connected to various parts of the test rig using a manifold. All of the temperature readings were
10
Figure 11: Instrumentation Schematic
Table 1: System MeasurementsLocation Measurements Numberatmospheric pressure, temperature 2system inlet pressure, temperature, mass flow 3after heater pressure, temperature 2primary flow exit pressure 1ejector exit temperature 11TOTAL 19
made using thermocouples, which were connected to a ten-channel thermocouple reader. Volume
flow was read with a rotameter; a different rotameter was used for the high and low Reynolds
number tests since the two tests differed in volume flow by two orders of magnitude.
A schematic including the locations of the instrumentation appears in Figure 11. Total pressure
and temperature were measured just as the air entered the rig. Next, the volume flow was measured
in the rotameter. Before the flow entered the convergent duct, another set of total pressure and
temperature measurements were taken. On the ejector shroud, at the exit of the primary jet pipe, a
static pressure measurement was taken. At the exit of the ejector shroud, a thermocouple mounted
on a translation stage monitored the temperature field in eleven locations across the diameter of the
exit. A dial caliper mounted above the translation stage to monitor its position. In total, nineteen
measurements were made per test. Those measurements are outlined in Table 1.
12
Figure 12: Test Matrix
5.3 Text Matrix
The test matrix appears in Figure 12. A total of twelve tests were run, six at a turbulent Reynolds
number of 70,000, and six at a more transitional value of 3,000. Combining length to diameter
ratios of 1 and 4 and primary to secondary area ratios of 1 and 3 created four different geometries of
ejector shrouds. All shrouds were tested at both Reynolds numbers. Two mixer types were tested:
a free splitter and a convoluted mixer. The free splitter was tested with all of the ejector shrouds.
Designed for optimal performance in the shrouds with an area ratio of three, the convoluted mixer
did not geometrically fit inside the shrouds with an area ratio of one. Therefore, the convoluted
mixer was only tested with shrouds with an area ratio of three.
5.4 Experimental Procedure
To run a test, first the valves to the oil free compressor were opened and adjusted until the proper
volume of air flowed through the test set up, as indicated by the rotameter. Then the heating
element would be engaged, including the additional heating tape wrapped around the pipes during
the low Reynolds number tests. The voltages on the heaters would be adjusted with variac power
supplies until the thermocouple monitoring the primary flow between the heater and the convergent
duct was steady near 350�K. Then pressures, temperatures, and mass flows would systematically
13
be observed from upstream in the system to downstream. The percentage power on the variacs
would and other notable observations would also be recorded. A more detailed version of the
experimental procedure as well as a sample data sheet appears in Appendix B.
6 Results
The data from the ejector-mixer tests in this experiment been compiled in terms of the performance
metrics described in Section 4.1. This section contains plots of those metrics. The Matlab code
used for the analysis appears in Appendix C. The legend for the plots is as follows: squares
represent a low Reynolds number test with a free-splitter mixer, circles are a high Reynolds number
test with a free-splitter, plus-signs represent a low Reynolds number test with a convoluted mixer,
and X’s are high Reynolds number tests with a convoluted mixer. Error bars have been omitted
from the plots for clarity, but the average uncertainty for the points in the figure are shown on
the bottom chart, along with a sample error bar for sizing. Plots of the performance metrics that
include the error bars appear in Appendix A.
6.1 Pumping Parameter
Figure 13 presents the corrected pumping parameter as a function of the area ratio of the ejector
shroud. It is plotted separately for each length to diameter ratio in the test matrix. Also plotted
is the curve for the model ejector-mixer described in Section 4.1. The average uncertainty for
the two plots was�.0252. Corrected pumping is shown to increase with decreasing Reynolds
number between 37% and 144%. The effect of the convoluted mixer compared to the free splitter
is generally to further augment pumping. Most of the comparable tests saw an increase between
12% and 23% over the free splitter. One set of tests contradicted this trend; the low Reynolds
number tests at an area ratio of 3 experienced a 17% decrease in pump from the free splitter to the
convoluted mixer.
14
6.2 Mixing Parameter
Figure 14 displays the mixing parameter as a function of length to diameter ratio for both of the
area ratios in the test matrix. Also appearing are the ideal, uniform mixing parameter of unity
and the worse case scenario under the test conditions. The worst case scenario was calculate by
assuming that the conditions at the exit of the ejector were identical to those at the inlet, i.e. that
no mixing had occurred. Specifically, for radii less than the radius of the primary jet pipe, the flow
temperature was assumed to be that of the primary, about 350�K. For radii outside the radius of
the jet pipe, the temperature was assumed to be ambient, about 300�K. The average uncertainty for
this parameter was�.002.
The mixing improved with increasing length to diameter ratio. An improvement of between
200% and 400% is observed from a length to diameter ratio of 1, to a ratio of 4. The convoluted
mixer contributed a consistent but less substantial improvement on the mixing. One striking feature
of the data is the reversal of the Reynolds number effect between tests at the two area ratios. At
an area ratio of one, the high Reynolds number tests had better mixing than their low Reynolds
number counterparts. However, at the area ratio of 3, that situation was reversed.
6.3 Temperature Reduction
Figure 15 shows the percent temperature reduction as a function of the area ratio for the two
ejector length to diameter ratios. Also plotted is the ideal curve, calculated by assuming that the
primary flow was cooled entirely to the ambient temperature, i.e. assuming infinite secondary flow
pumping. The average uncertainty is�.143. The data shows between 13% and 89% increases in
pumping from high Reynolds number to low. In most comparisons, convoluted mixer consistently
increased the temperature reduction an average of 8% above the free splitter. The low Reynolds
number length to diameter ratio of 1, area ratio of 3 test was again an exception. There the convo-
luted mixer decreased the temperature reduction by 6%.
16
7 Discussion
7.1 Pumping Parameter
The corrected pumping parameter essentially followed the trends suggested by theory. Viscous
effects increase with decreasing Reynolds numbers, so greater momentum transfer would be ex-
pected to occur at lower Reynolds numbers. The momentum transfer contributes to secondary flow
pumping. In this sense, the data strengthens the theory.
Similarly, one would expect a the convoluted mixer, a device which increases the surface con-
tact area over which viscous momentum transfer can occur, to improve secondary flow pumping.
For both the high and low Reynolds number flows, the data follows this trend with one exception.
As noted in Section 6.1, the mixer degraded the pumping performance for the area ratio of 3, length
to diameter ratio of 1, low Reynolds number test. This may be due to a peculiar interaction at low
Reynolds numbers with the shortened ejector shroud. However, comparing those points with the
relative distances between other tests, one may notice that the free-splitter, area ratio of 3, length
to diameter of 1 test is abnormally high compared to the rest. This seems to indicate that the data
point may be an error.
7.2 Mixing Parameter
A typical free jet will completely mix with the free stream about ten jet diameters away from
the source. With that in mind, the observation in the data that the mixing parameter improved
as the length to diameter ratio increased is not surprising. The effect of the convoluted mixer
on the mixing parameter was also as expected. The increased surface contact area of the two
streams allowed for greater viscous interaction and thus contributed to complete mixing. The
effect was similar for both low and high Reynolds number flows. The observation that the effect
of Reynolds number on the mixing changed with the area ratio was not expected. The change
is within the uncertainty in the measurements; however, the trend is graphically quite consistent
despite the numerical uncertainty. That consistency suggests that the correlation may still have
merit. However, the phenomenon has not yet been explained.
19
7.3 Temperature Reduction
The temperature reduction was expected to follow the same trends as the pumping performance.
In general, the pumping governs how much low enthalpy can be drawn away from the hot primary
flow. The experimental data follows the pumping trend, as expected.
Assuming that the micro-engine could expect ejector-mixer performance similar to these tests,
a convoluted mixer with an area ratio of three and a length to diameter ratio of one would produce a
corrected pumping ratio of about 1.5. This translates to a pumping ratio of 2.6, assuming a primary
flow temperature of 900�K and a secondary flow temperature of 300�K. This would cool the flow
to around 470�K, corresponding to a temperature reduction of 430�K.
7.4 Data Consistency
The data from this experiment was compared to work by Presz at Western New England College
to ensure its consistency. In Figure 16, the data from this experiment is plotted with that from
Western New England College as a function of mixer geometry. For mixers of similar geometries
operating at high Reynolds numbers and similar area ratios, the data from this experiment matched
Western New England College’s data by an average of 11%. This suggests good consistency in the
experiment.
8 Conclusions
Due to the greater viscous effect, the lower Reynolds number tests experienced a larger corrected
pumping ratio. The difference was about 75% greater than the high Reynolds number case. The
convoluted mixer was shown to augment the pumping ratio even further when compared to the free
splitter, and the effect was similar for both high and low Reynolds number conditions. The mixing
parameter did not display as strong a Reynolds number dependence as the corrected pumping; the
effect changed at different secondary primary flow area ratios. The effect of the convoluted mixer
was similar at both high and low Reynolds numbers in that the convoluted mixer contributed to
more complete mixing than with a free-splitter.
Given the corrected pumping ratios attained in this experiment, the designer of a micro-gas
20
turbine ejector-mixer could expect a temperature as high as 430�K. This makes an ejector-mixer a
promising solution for cooling the exhaust of the micro-engine.
9 Future Work
Due to the scope of this project, a limited number of mixers were tested for comparison. The mixer
that was tested was designed specifically for low Reynolds number flows. A suitable follow up to
this study would be the investigation of other more common mixer types at low Reynolds numbers
to provide an even deeper comparison with the existing high Reynolds number data.
One issue left unexplained in this project was the nature of area ratio dependence on the mixing
parameter at high and low Reynolds number. To follow up on this, a study could be performed
where area ratio was varied on a more fine scale to determine the nature of the changing Reynolds
number dependence on mixing.
A key issue to a designer of a micro-gas turbine ejector-mixer will be the performance impact
the device will have on the engine. It’s likely that the performance detriment will come in the form
of a total pressure loss in the exhaust. A future study could categorize the total pressure loss for a
number of ejector-mixer designs in an attempt to correlate engine performance with ejector-mixer
performance.
10 Acknowledgments
The author would like to thank his partner, Mark Monroe; his project advisor, Prof. Alan Epstein;
as well as Dr. Richard Perdichizzi, Carl Dietrich, Dr. Gerald Guenette, Don Weiner, Andrea
McKenzie, James Letendre, and Jerry Wentworth for their invaluable assistance during this project.
References
[1] Epstein, Alan et al. “Shirtbutton-Sized Gas Turbines: The Engineering Challenges of Micro
High Speed Rotating Machinery.” ISROMAC-8. Hawaii, March 2000.
22
[2] Pennathur, Sumita. “Flow Analysis of Integrated Micro Air Vehicle and Micro Gas Turbine
Engine.” 16.62x Project Notebook, 1999.
[3] Presz, W., Gousy, R., and Morin, B. “Forced Mixer Lobes in Ejector Designs.” AIAA 86-1614,
June 1986.
[4] Presz, Walter M., Skebe, Stanley A., and McCormick, Duane C. “Parameter Effects on Mixer-
Ejector Pumping Performance.” AIAA 88-0188, June 1988.
[5] Doebelin,Measurement Systems: Application and Design. 3rd ed. New York:McGraw-Hill,
1983.
[6] Omega Temperature Handbook (Vol. 29) and Omega Flow and Lever Handbook (Vol. 27)
[7] Tew, D., Temple, B., and Waitz, I. “Mixer-Ejector Noise-Suppressor Model.” Journal of
Propulsion and Power. Vol. 14, No. 6, Nov.-Dec. 1998.
[8] Morel, T. “Comprehensive Design of Axisymmetric Wind Tunnel Contractions.” Journal of
Fluids Engineering. June 1995.
[9] Presz, Morin, and Blinn. “Short Efficient Ejector Systems.” AIAA 87-1837, June 1987.
23
A Uncertainty Analysis
Given the uncertainty in the measuring instruments, the uncertainty of the calculated design metrics
can be determined by weighting their sensitivities to measured inputs. The thermocouples used in
the testing were assumed to be accurate to within 1%. The thermocouple used for the temperature
field at the exit of the ejector is the exception. That particular device was a precision calibrated
thermocouple mounted in a pitot tube designed specifically for flow measurements. Its uncertainty
was much less that 1%.
A.1 Corrected Pumping Uncertainty
The pumping metric is a function of the primary and secondary flow temperatures (Tp andTs) and
the average temperature at the exit of the ejector (T2).
f =_ms
_mp
=Tp � �T2�T2 � Ts
(3)
The root mean square uncertainty in the uncorrected pumping is:
�_ms
_mp
=
vuut(j�Ts@f
@Tsj)2 + (j�Tp
@f
@Tpj)2 + (j� �T2
@f
@ �T2j)2: (4)
Corrected pumping is a function for the primary to secondary temperature ratios and the pump-
ing:
g =_ms
_mp
sTsTp
: (5)
The root mean square uncertainty in the metric is:
�g =
vuut(� _ms
_mp
j@ @g
_ms_mp
j)2 + (�Tpj
@g
@Tpj)2(�Tsj
@g
@Tsj)2: (6)
This gives an average uncertainty of�0.0252 for the conditions of the test.
24
A.2 Mixing Parameter Uncertainty
The mixing parameter is a function of the individual temperature readings at the exit of the ejector
(T) as well as the position of the translation stage (r):
� =
RT 22 dA2
A2 � �T22 (7)
which, for the discrete measurements at the end of the ejector, can be approximated as:
� =�
A2�T22
10Xi=1
0:5(T 2i+1jri+1j+ T 2
i jrij)�r (8)
for which the root mean square uncertainty is:
�� =
s(j��T
@�
@ �Tj)2 + (j�T1
@�
@T1j)2 + (j�T2
@�
@T2j)2 + : : :+ (j�T11
@�
@T11j)2 + (j�r
@�
@rj)2: (9)
This gives an uncertainty of around�0.00128.
A.3 Temperature Reduction Uncertainty
The percent temperature reduction is a function of the average, primary, and secondary tempera-
tures:
T% =Tp � �T
Ts(10)
So the uncertainty in the temperature reduction is:
�T% =
vuut(j�Tp@T%
@Tpj)2 + (j�Ts
@T%
@Tsj)2 + (j��T
@T%
@ �Tj)2 (11)
which gives an average uncertainty of�0.143 over the testing conditions.
26
B Testing Procedure
B.1 Micro-Engine Ejector-Mixer Test Procedure
1. Mount and align test pieces to be tested
2. Align station 3 thermocouple and determine temperature field z-locations
3. On a cold start, record pressures and temperatures at all locations
4. Check pipe seals and heater continuity
5. Turn on air
� Close regulator and hose valve
� Turn on oil free compressor
� Open two supply valves to regulator
� Open regulator to 50 psig
6. Slowly open hose valve to achieve desired volume flow
� For high volume flow tests, want 1.878 PPM @ standard conditions
� For low volume flow tests, want 64.701 SCFH @ standard conditions
7. Turn on heater (and heating tape for low Reynolds number tests) and adjust voltage until
thermocouple at station 2 reads 76.9�C
8. Record data
� Test date and time.
� Ambient pressure and temperature
� Pressure and temperature at stations 1 and 2
� Pressure at stage 3
� Rotameter volume flow reading
29
� 11 temperature measurements along diameter of ejector exit from bottom to top (station
3)
� Variac percentage(s) of max voltage
� Pressure at station 1 and temperature at station 2 (again)
� Notes
9. Turn off heater
10. Close regulator and hose valve. Prepare for next test or turn off compressor
30
C Numerical Analysis
This appendix contains samples of the source code for the data analysis used in the project.
C.1 performance.m
% Matlab script to reduce ejector-mixer test data and output% performance metrics%% Authors: Mark Monroe & Nathan Fitzgerald% Created: 11=19=01% Modified: 12=3=01
% Clear workspace and prompt user for name of file to use
clear all 10
close allfilename = ['test1 ''test2 ''test3 ''test4 ''test5 ''test6 ''test7 ''test8 ''test9 ' 20
'test10''test11''test12''test00'];
AR3r = linspace(�0.986=2, 0.986=2, 11);AR1r = linspace(�0.698=2, 0.698=2, 11);
for i2=1:length(filename)30
eval(filename(i2,:))
% Calibrate data to initial cold start values
for i = 1:4error = Temps(1,1) � Temps(i,1);TempsMod(i) = Temps(i,2) + error + 273.15;if i == 3
32
Tpi = Temps(i,2) + error + 273.15;Tpf = Final(2) + error + 273.15; 40
endendTempsMod(5:14) = Temps(5:14,2) + error + 273.15;
PressuresMod = Pressures(:,2).�6.894757361e3;
% Determine radii vector
if Parameters(2) == 1radius = AR1r; 50
elseradius = AR3r;
endarea =pi � (radius(11))ˆ2;
% Define instrument errors
if Parameters(4) == 1TCerr = 0.1;
else 60
TCerr = 0.5;endPerr = 2.0265e3;Rerr = 0.001 = 39.37007874;%Rerr = 0;
% Find average exit temperature
TempsExit = TempsMod(4:14);Integrand = TempsExit .� abs(radius); 70
Tbar = pi�trapz(radius,Integrand)=area;
Integrand = TempsExit.̂2.�abs(radius);mixing = pi�trapz(radius,Integrand)=area=Tbar̂ 2;
dr = radius(11) � radius(10);
% Mixing Error BarsDmixing = (Rerr � abs(pi � (abs(radius(1)) � TempsExit(1)ˆ2 + . . .
abs(radius(11)) � TempsExit(11)ˆ2 + . . . 80
sum(abs(radius(2:10)) .� TempsExit(2:10).ˆ2)) = 2 = Tbar̂ 2 = area))̂ 2Dmixing = Dmixing + (TCerr � abs(dr � pi � (abs(radius(1)) � TempsExit(1)ˆ2 + . . .
33
abs(radius(11)) � TempsExit(11)ˆ2 + . . .sum(abs(radius(2:10)) .� TempsExit(2:10).ˆ2)) = Tbar̂ 3 = area))̂ 2
Dmixing = Dmixing + (TCerr � abs(pi � dr � radius(1) � TempsExit(1) . . .= Tbar̂ 2 = area))̂ 2
Dmixing = Dmixing + (TCerr � abs(pi � dr � radius(11) � TempsExit(11) . . .= Tbar̂ 2 = area))̂ 2
for j = 2:10Dmixing = Dmixing + (TCerr � abs(2 � pi � dr � radius(j) � . . . 90
TempsExit(j) = Tbar̂ 2 = area))̂ 2endDmixing = sqrt(Dmixing);
% Pumping Error Bars% Corrected Pumping Error Bars% Tempurature reduction error bars% Pressure reduction error bars
100
% Performance MetricsTp = (Tpi + Tpf) = 2;pumping = (Tp�Tbar)=(Tbar�TempsMod(1));Dpumping = (TCerr� abs(1 = (Tbar � TempsMod(1))))ˆ2Dpumping = Dpumping + (TCerr�abs((Tp�TempsMod(1))=(Tbar�TempsMod(1))ˆ2))ˆ2
%Dpumping = Dpumping + (TCerr � abs((Tp - Tbar)=(Tbar - Temps Mod(1))ˆ2%Dpumping = Dpumping + 1= (Tbar - Temps Mod(1))))ˆ2Dpumping = Dpumping +(TCerr� abs((Tp � Tbar)=(Tbar � TempsMod(1))ˆ2))ˆ2; 110
Dpumping = sqrt(Dpumping)
corr pumping = pumping�sqrt(TempsMod(1)=Tp);Dcorr pumping = (Dpumping�sqrt(TempsMod(1)=Tp))̂ 2Dcorr pumping = Dcorrpumping + (TCerr�(.5�pumping=sqrt(Tp�TempsMod(1))))ˆ2Dcorr pumping = Dcorrpumping + (TCerr�(.5�pumping�sqrt(TempsMod(1)=Tpˆ3)))ˆ2Dcorr pumping = sqrt(Dcorr pumping)
Temp redux = (Tp�Tbar)=Tp; 120
DTemp redux = (TCerr=TempsMod(1))ˆ2DTemp redux = DTempredux + (TCerr=TempsMod(1))ˆ2DTemp redux = DTempredux + (TCerr�(Tp�Tbar)=TempsMod(1)ˆ2)ˆ2DTemp redux = sqrt(DTemp redux)pressureredux = (PressuresMod(1)�PressuresMod(4))=PressuresMod(1);DPressureredux = (Perr=PressuresMod(1))ˆ2
34
DPressureredux = DPressureredux + (Perr�PressuresMod(4)=PressuresMod(1)ˆ2)ˆ2DPressureredux = sqrt(DPressureredux)
130
correctedvol = Volume(2)�sqrt(TempsMod(2)�101325=294.26=PressuresMod(2));if Parameters(4) == 1
massflow = correctedvol � 1.2 � (28.3168e�3)=3600;else
massflow = correctedvol = 60 = 2.2046226;end
Reynolds =4�massflow=pi=(2.07e�5)=.0125;140
Analysis(i2,:) = [ Parameters, Tbar, mixing, pumping, corrpumping, . . .Temp redux�100, pressureredux�100, massflow, Reynolds, TempsExit, radius, . . .
Dmixing, TempsMod(1), TempsMod(3), Dpumping, Dcorrpumping, . . .DTemp redux�100, DPressureredux�100];
end
area o = linspace(0,5,100);temp o = 1; 150
[area p, temp p] = meshgrid(area o, temp o);
a = tempp.�((1.=areap.̂ 2)+1);b = 2�(temp p+1);c= �2�area p;pumping p = (�b.=(2�a))+((((b.̂ 2)�4.�a.�c).̂ .5).=(2�a));
160
%% Plots w= Error bars
% pumping ratio as a function of area ratio% for each of the 2 LD’s separatelyfiguresubplot(2,1,1) % LD of 1hold onplot(area p, pumpingp) 170
35
% Free - lowplot([Analysis(7,2),Analysis(9,2)],. . .
[Analysis(7,8),Analysis(9,8)], 'ob')% Free - highplot([Analysis(1,2), Analysis(5,2)], . . .
[Analysis(1,8), Analysis(5,8)], 'or')% Conv - lowplot([Analysis(12,2)], [Analysis(12,8)], 'xb')% Conv - highplot([Analysis(4,2)], [Analysis(4,8)], 'xr') 180
% Free - lowerrorbar([Analysis(7,2),Analysis(9,2)],. . .
[Analysis(7,8),Analysis(9,8)], . . .[Analysis(7,39), Analysis(9,39)],'ob')
% Free - higherrorbar([Analysis(1,2), Analysis(5,2)], . . .
[Analysis(1,8), Analysis(5,8)], . . .[Analysis(1,39), Analysis(5,39)],'or')
% Conv - lowerrorbar([Analysis(12,2)], [Analysis(12,8)], [Analysis(12,39)], 'xb') 190
% Conv - higherrorbar([Analysis(4,2)], [Analysis(4,8)], Analysis(4,39), 'xr')xlabel('Area Ratio')ylabel('Corrected Pumping')title('L/D =1')legend('Model','Free, Re-low','Free, Re-high', . . .
'Conv, Re-low','Conv, Re-high')
subplot(2,1,2) % LD of 4 200
hold onplot(area p, pumpingp)% Free - lowplot([Analysis(8,2),Analysis(10,2)],. . .
[Analysis(8,8),Analysis(10,8)], 'ob')% Free - highplot([Analysis(2,2), Analysis(6,2)], . . .
[Analysis(2,8), Analysis(6,8)], 'or')% Conv - lowplot([Analysis(11,2)], [Analysis(11,8)], 'xb') 210
% Conv - highplot([Analysis(3,2)], [Analysis(3,8)], 'xr')errorbar([Analysis(8,2),Analysis(10,2)],. . .
[Analysis(8,8),Analysis(10,8)], . . .
36
[Analysis(8,39), Analysis(10,39)],'ob')% Free - higherrorbar([Analysis(2,2), Analysis(6,2)], . . .
[Analysis(2,8), Analysis(6,8)], . . .[Analysis(2,39), Analysis(6,39)],'or')
% Conv - low 220
errorbar([Analysis(11,2)], [Analysis(11,8)], [Analysis(11,39)], 'xb')% Conv - higherrorbar([Analysis(3,2)], [Analysis(3,8)], [Analysis(3,39)], 'xr')
xlabel('Area Ratio')ylabel('Corrected Pumping')title('L/D =4')legend('Model','Free, Re-low','Free, Re-high', . . .
'Conv, Re-low','Conv, Re-high')230
% mixing parameter as a function of L=D% for each of the 2 AR’s separatelyfigurerange = linspace(.5,5,10);idealmixing = ones(1,length(range));subplot(2,1,1) % Area Ratio of 1hold onplot(range, idealmixing)plot(range, Analysis(13,6)�ones(1,length(range)),'--k') 240
% Free - lowplot([Analysis(8,3),Analysis(9,3)],. . .
[Analysis(8,6),Analysis(9,6)],'ob')% Free - highplot([Analysis(5,3), Analysis(6,3)], . . .
[Analysis(5,6), Analysis(6,6)],'or')% Free - lowerrorbar([Analysis(8,3),Analysis(9,3)],. . .
[Analysis(8,6),Analysis(9,6)],. . .[Analysis(8,35),Analysis(9,35)],'ob') 250
% Free - higherrorbar([Analysis(5,3), Analysis(6,3)], . . .
[Analysis(5,6), Analysis(6,6)],. . .[Analysis(5,35),Analysis(6,35)],'or')
xlabel('Length / Diameter Ratio')ylabel('Mixing Parameter')title('AR = 1')legend('Ideal','Worst','Free, Re-low','Free, Re-high')
37
subplot(2,1,2) % Area Ration of 3 260
hold onplot(range, idealmixing)plot(range, Analysis(13,6)�ones(1,length(range)),'--k')% Free - lowplot([Analysis(7,3),Analysis(10,3)],. . .
[Analysis(7,6),Analysis(10,6)], 'ob')% Free - highplot([Analysis(1,3), Analysis(2,3)], . . .
[Analysis(1,6), Analysis(2,6)], 'or')% Conv - low 270
plot([Analysis(11,3),Analysis(12,3)],. . .[Analysis(11,6),Analysis(12,6)], 'xb')
% Conv - highplot([Analysis(3,3), Analysis(4,3)], . . .
[Analysis(3,6), Analysis(4,6)], 'xr')
% Free - lowerrorbar([Analysis(7,3),Analysis(10,3)],. . .
[Analysis(7,6),Analysis(10,6)],. . .[Analysis(7,35),Analysis(10,35)],'ob') 280
% Free - higherrorbar([Analysis(1,3), Analysis(2,3)], . . .
[Analysis(1,6), Analysis(2,6)],. . .[Analysis(1,35),Analysis(2,35)],'or')
% Free - lowerrorbar([Analysis(11,3),Analysis(12,3)],. . .
[Analysis(11,6),Analysis(12,6)],. . .[Analysis(11,35),Analysis(12,35)],'ob')
% Free - higherrorbar([Analysis(3,3), Analysis(4,3)], . . . 290
[Analysis(3,6), Analysis(4,6)],. . .[Analysis(3,35),Analysis(4,35)],'or')
xlabel('Length / Diameter Ratio')ylabel('Mixing Parameter')title('AR = 3')legend('Ideal','Worst','Free, Re-low','Free, Re-high', . . .
'Conv, Re-low','Conv, Re-high')
% temperature reduction as a function of area ratio 300
% for each of the 2 LD’s separatelyfigure
38
subplot(2,1,1) % LD of 1hold on%idealplot(area p,(54=300)�ones(1,length(area p))�100)% Free - lowplot([Analysis(7,2),Analysis(9,2)],. . .
[Analysis(7,9),Analysis(9,9)], 'ob')% Free - high 310
plot([Analysis(1,2), Analysis(5,2)], . . .[Analysis(1,9), Analysis(5,9)], 'or')
% Conv - lowplot([Analysis(12,2)], [Analysis(12,9)], 'xb')% Conv - highplot([Analysis(4,2)], [Analysis(4,9)], 'xr')% Free - lowerrorbar([Analysis(7,2),Analysis(9,2)],. . .
[Analysis(7,9),Analysis(9,9)], . . .[Analysis(7,40),Analysis(9,40)], 'ob') 320
% Free - higherrorbar([Analysis(1,2), Analysis(5,2)], . . .
[Analysis(1,9), Analysis(5,9)], . . .[Analysis(1,40), Analysis(5,40)], 'or')
% Conv - lowerrorbar([Analysis(12,2)], [Analysis(12,9)], [Analysis(12,40)], 'xb')% Conv - higherrorbar([Analysis(4,2)], [Analysis(4,9)],[Analysis(4,40)], 'xr')
xlabel('Area Ratio') 330
ylabel('Temperature Reduction (%)')title('L/D =1')legend('ideal','Free, Re-low','Free, Re-high', . . .
'Conv, Re-low','Conv, Re-high')
subplot(2,1,2) % LD of 4hold on%idealplot(area p,(54=300)�ones(1,length(area p))�100) 340
% Free - lowplot([Analysis(8,2),Analysis(10,2)],. . .
[Analysis(8,9),Analysis(10,9)], 'ob')% Free - highplot([Analysis(2,2), Analysis(6,2)], . . .
[Analysis(2,9), Analysis(6,9)], 'or')
39
% Conv - lowplot([Analysis(11,2)], [Analysis(11,9)], 'xb')% Conv - highplot([Analysis(3,2)], [Analysis(3,9)], 'xr') 350
% Free - lowerrorbar([Analysis(8,2),Analysis(10,2)],. . .
[Analysis(8,9),Analysis(10,9)], . . .[Analysis(8,40),Analysis(10,40)],'ob')
% Free - higherrorbar([Analysis(2,2), Analysis(6,2)], . . .
[Analysis(2,9), Analysis(6,9)], . . .[Analysis(2,40), Analysis(6,40)],'or')
% Conv - lowerrorbar([Analysis(11,2)], [Analysis(11,9)], [Analysis(11,40)], 'xb') 360
% Conv - higherrorbar([Analysis(3,2)], [Analysis(3,9)],[Analysis(3,40)], 'xr')
xlabel('Area Ratio')ylabel('Temperature Reduction (%)')title('L/D =4')legend('ideal','Free, Re-low','Free, Re-high', . . .
'Conv, Re-low','Conv, Re-high')
% % pressure reduction as a function of area ratio 370
% % for each of the 2 LD’s separately% %figure% %subplot(2,1,1) % LD of 1% hold on% % Free - low% plot([Analysis(7,2),Analysis(9,2)],. . .% [Analysis(7,10),Analysis(9,10)], ’ob’)% % Free - high% plot([Analysis(1,2), Analysis(5,2)], . . .% [Analysis(1,10), Analysis(5,10)], ’or’) 380
% % Conv - low% plot([Analysis(12,2)], [Analysis(12,10)], ’xb’)% % Conv - high% plot([Analysis(4,2)], [Analysis(4,10)], ’xr’)% errorbar([Analysis(7,2),Analysis(9,2)],. . .% [Analysis(7,10),Analysis(9,10)], . . .% [Analysis(7,41),Analysis(9,41)],’ob’)% % Free - high% errorbar([Analysis(1,2), Analysis(5,2)], . . .% [Analysis(1,10), Analysis(5,10)], . . . 390
40
% [Analysis(1,41),Analysis(5,41)], ’or’)% % Conv - low% errorbar([Analysis(12,2)], [Analysis(12,10)],[Analysis(12,41)],’xb’)% % Conv - high% errorbar([Analysis(4,2)], [Analysis(4,10)], [Analysis(4,41)], ’xr’)% xlabel(’Area Ratio’)% ylabel(’Pressure Reduction (%)’)% ax = axis;% axis([0 5 ax(3:4)])% title(’L=D =1’) 400
% legend(’Free, Re-low’,’Free, Re-high’, . . .% ’Conv, Re-low’,’Conv, Re-high’)%%% subplot(2,1,2) % LD of 4% hold on% % Free - low% plot([Analysis(8,2),Analysis(10,2)],. . .% [Analysis(8,10),Analysis(10,10)],’ob’)% % Free - high 410
% plot([Analysis(2,2), Analysis(6,2)], . . .% [Analysis(2,10), Analysis(6,10)], ’or’)% % Conv - low% plot([Analysis(11,2)], [Analysis(11,10)], ’xb’)% % Conv - high% plot([Analysis(3,2)], [Analysis(3,10)], ’xr’)% errorbar([Analysis(8,2),Analysis(10,2)],. . .% [Analysis(8,10),Analysis(10,10)], . . .% [Analysis(8,41), Analysis(10,41)], ’ob’)% % Free - high 420
% errorbar([Analysis(2,2), Analysis(6,2)], . . .% [Analysis(2,10), Analysis(6,10)], . . .% [Analysis(2,41), Analysis(6,41)], ’or’)% % Conv - low% errorbar([Analysis(11,2)], [Analysis(11,10)], [Analysis(11,41)], ’xb’)% % Conv - high% errorbar([Analysis(3,2)], [Analysis(3,10)], [Analysis(3,41)], ’xr’)% ax = axis;% axis([0 5 ax(3:4)])% xlabel(’Area Ratio’) 430
% ylabel(’Pressure Reduction (%)’)% title(’L=D =4’)% legend(’Free, Re-low’,’Free, Re-high’, . . .% ’Conv, Re-low’,’Conv, Re-high’)
41
% Data from “Short Efficient Ejector Systems”, Presz%
% Note: The penetration of our mixer is about 60% 440
% AR = 0.52, LD = 1, Penetration = 44%, Diffuser Angle = 6 deg, Re High
LobeAngle = [0 15 20 25];K1 = [0.48 0.87 0.98 0.92];OurLobe = [20,0];Tratio = [Analysis(4,36)=Analysis(4,37), Analysis(5,36)=Analysis(5,37)];Aratio = [3, 1];OurPumping = [Analysis(4,7),Analysis(5,7)];OurIdeal = sqrt(1.=Tratio).�(�2+2.�(1+0.5.�(Aratio + 1.=Aratio)).̂ 0.5).=(1+. . . 450
(1.=Aratio).̂ 2);OurK =OurPumping.=OurIdeal;figuresubplot(2,1,1)plot(LobeAngle,K1,'rx',OurLobe,OurK,'bo')xlabel('Lobe Angle (deg)')ylabel('Pumping Ratio / Model Pumping Ratio')title('Ejector-Mixer Data Comparison')legend('WNEC Data','16.622 Data',2);
460
% AR = 0.52, LD = 1, Diffuser Angle = 0 deg, Lobe Angle = 25 deg, Re High
K2 = [0.57 0.81 0.93 1.08];Penetration = [0 28 44 57];OurPen = [60, 0];subplot(2,1,2)plot(Penetration,K2,'rx',OurPen,OurK,'bo')xlabel('Penetration (%)')ylabel('Pumping Ratio / Model Pumping Ratio') 470
legend('WNEC Data','16.622 Data',2);
%% Plots w=o Error bars
% pumping ratio as a function of area ratio
42
% for each of the 2 LD’s separatelyfigure 480
subplot(2,1,1) % LD of 1hold offplot(area p, pumpingp)hold on% Free - lowplot([Analysis(7,2),Analysis(9,2)],. . .
[Analysis(7,8),Analysis(9,8)], 'ob')% Free - highplot([Analysis(1,2), Analysis(5,2)], . . .
[Analysis(1,8), Analysis(5,8)], 'or') 490
% Conv - lowplot([Analysis(12,2)], [Analysis(12,8)], 'xb')% Conv - highplot([Analysis(4,2)], [Analysis(4,8)], 'xr')xlabel('Area Ratio')ylabel('Corrected Pumping')title('L/D =1')legend('Model','Free, Re-low','Free, Re-high', . . .
'Conv, Re-low','Conv, Re-high')500
subplot(2,1,2) % LD of 4hold offplot(area p, pumpingp)hold on% Free - lowplot([Analysis(8,2),Analysis(10,2)],. . .
[Analysis(8,8),Analysis(10,8)], 'ob')% Free - highplot([Analysis(2,2), Analysis(6,2)], . . . 510
[Analysis(2,8), Analysis(6,8)], 'or')% Conv - lowplot([Analysis(11,2)], [Analysis(11,8)], 'xb')% Conv - highplot([Analysis(3,2)], [Analysis(3,8)], 'xr')avg error = mean(Analysis(1:12,39));ax = axis;errorbar([(ax(2)�ax(1))�0.98+ax(1)], [(ax(4)�ax(3))�0.2+ax(3)], [avg error],'k')text((ax(2)�ax(1))�0.65+ax(1),(ax(4)�ax(3))�0.2+ax(3),. . .
strcat('Avg. Uncertainty = \pm',num2str(avg error,3))) 520
xlabel('Area Ratio')
43
ylabel('Corrected Pumping')title('L/D =4')legend('Model','Free, Re-low','Free, Re-high', . . .
'Conv, Re-low','Conv, Re-high')
% mixing parameter as a function of L=D% for each of the 2 AR’s separately 530
figurerange = linspace(.5,5,10);idealmixing = ones(1,length(range));subplot(2,1,1) % Area Ratio of 1hold onplot(range, idealmixing)plot(range, Analysis(13,6)�ones(1,length(range)),'--k')% Free - lowplot([Analysis(8,3),Analysis(9,3)],. . .
[Analysis(8,6),Analysis(9,6)],'ob') 540
% Free - highplot([Analysis(5,3), Analysis(6,3)], . . .
[Analysis(5,6), Analysis(6,6)],'or')
xlabel('Length / Diameter Ratio')ylabel('Mixing Parameter')title('AR = 1')legend('Ideal','Worst','Free, Re-low','Free, Re-high')
subplot(2,1,2) % Area Ration of 3 550
hold onplot(range, idealmixing)plot(range, Analysis(13,6)�ones(1,length(range)),'--k')% Free - lowplot([Analysis(7,3),Analysis(10,3)],. . .
[Analysis(7,6),Analysis(10,6)], 'ob')% Free - highplot([Analysis(1,3), Analysis(2,3)], . . .
[Analysis(1,6), Analysis(2,6)], 'or')% Conv - low 560
plot([Analysis(11,3),Analysis(12,3)],. . .[Analysis(11,6),Analysis(12,6)], 'xb')
% Conv - highplot([Analysis(3,3), Analysis(4,3)], . . .
[Analysis(3,6), Analysis(4,6)], 'xr')
44
avg error = mean(Analysis(1:12,35));ax = axis;text((ax(2)�ax(1))�0.65+ax(1),(ax(4)�ax(3))�0.2+ax(3),. . .
strcat('Avg. Uncertainty = \pm',num2str(avg error,3))) 570
errorbar((ax(2)�ax(1))�0.98+ax(1),(ax(4)�ax(3))�0.2+ax(3),avg error,'k')xlabel('Length / Diameter Ratio')ylabel('Mixing Parameter')title('AR = 3')legend('Ideal','Worst','Free, Re-low','Free, Re-high', . . .
'Conv, Re-low','Conv, Re-high')
% temperature reduction as a function of area ratio% for each of the 2 LD’s separatelyfigure 580
subplot(2,1,1) % LD of 1hold on%idealplot(area p,(54=300)�ones(1,length(area p))�100)% Free - lowplot([Analysis(7,2),Analysis(9,2)],. . .
[Analysis(7,9),Analysis(9,9)], 'ob')% Free - highplot([Analysis(1,2), Analysis(5,2)], . . .
[Analysis(1,9), Analysis(5,9)], 'or') 590
% Conv - lowplot([Analysis(12,2)], [Analysis(12,9)], 'xb')% Conv - highplot([Analysis(4,2)], [Analysis(4,9)], 'xr')
xlabel('Area Ratio')ylabel('Temperature Reduction (%)')title('L/D =1')legend('ideal','Free, Re-low','Free, Re-high', . . .
'Conv, Re-low','Conv, Re-high') 600
subplot(2,1,2) % LD of 4hold on%idealplot(area p,(54=300)�ones(1,length(area p))�100)% Free - lowplot([Analysis(8,2),Analysis(10,2)],. . .
[Analysis(8,9),Analysis(10,9)], 'ob')% Free - high 610
45
plot([Analysis(2,2), Analysis(6,2)], . . .[Analysis(2,9), Analysis(6,9)], 'or')
% Conv - lowplot([Analysis(11,2)], [Analysis(11,9)], 'xb')% Conv - highplot([Analysis(3,2)], [Analysis(3,9)], 'xr')% Free - low
avg error = mean(Analysis(1:12,40));ax = axis; 620
text((ax(2)�ax(1))�0.65+ax(1),(ax(4)�ax(3))�0.2+ax(3),. . .strcat('Avg. Uncertainty = \pm',num2str(avg error,3),'%'))
errorbar((ax(2)�ax(1))�0.98+ax(1),(ax(4)�ax(3))�0.2+ax(3),avg error,'k')xlabel('Area Ratio')ylabel('Temperature Reduction (%)')title('L/D =4')legend('ideal','Free, Re-low','Free, Re-high', . . .
'Conv, Re-low','Conv, Re-high')
print �f1 �djpeg PumpingNoError 630
print �f2 �djpeg MixingNoErrorprint �f3 �djpeg TempNoErrorprint �f4 �djpeg Compprint �f5 �djpeg PumpingErrorprint �f6 �djpeg MixingErrorprint �f7 �djpeg TempError
% % pressure reduction as a function of area ratio% % for each of the 2 LD’s separately% figure 640
% subplot(2,1,1) % LD of 1% hold on% % Free - low% plot([Analysis(7,2),Analysis(9,2)],. . .% [Analysis(7,10),Analysis(9,10)], ’ob’)% % Free - high% plot([Analysis(1,2), Analysis(5,2)], . . .% [Analysis(1,10), Analysis(5,10)], ’or’)% % Conv - low% plot([Analysis(12,2)], [Analysis(12,10)], ’xb’) 650
% % Conv - high% plot([Analysis(4,2)], [Analysis(4,10)], ’xr’)%% xlabel(’Area Ratio’)
46
% ylabel(’Pressure Reduction (%)’)% ax = axis;% axis([0 5 ax(3:4)])% title(’L=D =1’)% legend(’Free, Re-low’,’Free, Re-high’, . . .% ’Conv, Re-low’,’Conv, Re-high’) 660
%%% subplot(2,1,2) % LD of 4% hold on% % Free - low% plot([Analysis(8,2),Analysis(10,2)],. . .% [Analysis(8,10),Analysis(10,10)],’ob’)% % Free - high% plot([Analysis(2,2), Analysis(6,2)], . . .% [Analysis(2,10), Analysis(6,10)], ’or’) 670
% % Conv - low% plot([Analysis(11,2)], [Analysis(11,10)], ’xb’)% % Conv - high% plot([Analysis(3,2)], [Analysis(3,10)], ’xr’)%% ax = axis;% axis([0 5 ax(3:4)])% avg error = mean(Analysis(1:12,41));% ax = axis;% text((ax(2)-ax(1))�0.65+ax(1),(ax(4)-ax(3))�0.2+ax(3),. . . 680
% strcat(’Avg. Uncertainty = npm’,num2str(avg error,3),’%’))% xlabel(’Area Ratio’)% ylabel(’Pressure Reduction (%)’)% title(’L=D =4’)% legend(’Free, Re-low’,’Free, Re-high’, . . .% ’Conv, Re-low’,’Conv, Re-high’)
query = [ ];for i=1:12 690
test req = [1 1 4]if (Analysis(i,1:3)==test req)
query = [query ,Analysis(i,8)];end
end
percentinc = (query(2)�query(1))=query(1)
47
700
C.2 test1.m
%% Micro�Gas Turbine Engine Ejector�Mixer Testing Data
Parameters= [ 1 3 1 2 ]% Freesplitter=1 , Convoluted=2% area ratio% L to D ratio% low Re = 1 , high Re =2
10
Volume = [ 2 , 1.89 ];% SCFH =1 , PPM =2
Pressures= [14.788 14.78814.788 20.49014.788 16.18014.788 14.782]
% Column: 1�initial 2�test% Row:% 1�ambient 20
% 2�station 1% 3�station 2% 4�station 3
Temps= [22.7 23.223.2 22.923.2 77.022.9 26.60 37.6 30
0 55.50 73.60 76.60 77.10 77.00 73.10 54.30 38.0
48
0 26.8]% same convention as pressures with additional rowsfor temp 40
% feild at station3.
Final = [20.464 77.3]% 1�final pressure2�final temperature
49
D Technical Drawings
1. Ejector Shrouds
(a) Area ratio = 1, Length/Diameter = 1
(b) Area ratio = 1, Length/Diameter = 4
(c) Area ratio = 3, Length/Diameter = 1
(d) Area ratio = 3, Length/Diameter = 4
2. Base Plate
3. Convergent Duct Connector
4. Convergent Duct
5. Convoluted Mixer
6. Primary Jet Pipe
7. Primary Jet Pipe (adapted for convoluted mixer)
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5/16
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Sol
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Edu
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nal L
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.026
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.200
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ABCD
CA
D F
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5/16
/01
UN
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SP
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DIM
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ON
S A
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IN IN
CH
ES
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Sol
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Edu
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.301
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.230
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.159
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.150
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1.10
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.350
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ABCD
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Sol
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Edu
catio
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stru
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DIM
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ON
S A
RE
IN IN
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RA
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5/16
/01
Sol
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Edu
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