Feasibility study of re-opening the Matlock-Buxton/Chinley ...
Integrated Computational Materials Engineering/media/Files/Autosteel/Great Designs in Steel... ·...
Transcript of Integrated Computational Materials Engineering/media/Files/Autosteel/Great Designs in Steel... ·...
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Integrated Computational Materials Engineering
Lab Heat Results Supporting DOE Targets
Grant Thomas, AK Steel Research
Prof. David Matlock, Colorado School of Mines
Radhakanta Rana, Colorado School of Mines
Louis Hector Jr., Principal Investigator, General Motors
Prof. Fadi Abu-Farha, Clemson University
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Project Overview
Timeline:
• Project Start Date: February 1, 2013
• Project End Date: January 31, 2017
• Percent Complete: ~40%
Budget
• DOE Share: $6,000,00
• Contractor Share: $2,571,253
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Project Goal:
Create a model for Third Generation Advanced
High Strength Steels (3rd Gen. AHSS)
• Incorporate different length scales
- Integrated Computational Materials
Engineering (ICME)
• Aid development
• Aid application
• Products to market faster
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Project Plan
Modeling
Assembly
Predictive
Validation
Performance
This Presentation
Experimental
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Department of Energy Targets for 3G AHSS
Yield Strength
(MPa)
Tensile Strength
(MPa)
Total Elongation
(%)
Uniform Elongation
(%)
800 1200 30 20
1200 1500 25 8
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Simple Rule of Mixtures Model—Microstructure
D.K. Matlock and J.G. Speer, “Design Considerations for the Next Generation of Advanced High Strength Sheet Steels,” Proceedings of the
3rd Int. Conf. on Structural Steels, ed. by H.C. Lee, Korean Institute of Metals and Materials, Seoul, Korea, 2006, pp. 774-781.
Mixtures of austenite and martensite can give excellent properties.
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Meta-Stable Austenite—More Design Opportunity
D.K. Matlock and J.G. Speer, Proceedings of the 3rd Int. Conf. on Structural Steels, The Korean Institute of Metals and Materials, Seoul,
Korea, 2006, pp. 774-781.
Mixtures of meta-stable austenite and martensite
may have the potential to reach DOE targets.
Austenite
Stability
Conditions
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Many Paths to 3rd Generation AHSS
Tensilized SS
Med. Mn Lower $$
TWIP
D.K. Matlock , J.G. Speer, R. Radhakanta, E. De Moor, ICME Kickoff Meeting, SMDI, Southfield, MI, DOE#: DE-EE0005976, March 12, 2013
Enhanced
PHS
Q&P
Enhanced,D
P, TRIP
Med. Mn
Q&P
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MEDIUM MANGANESE STEEL
Laboratory Results from Experimental Heats of
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1 m
Intercritical Annealing—Mn Partitioning
P. Gibbs, Ph. D. Thesis, Colorado School of Mines, 2012
E. De Moor, D. K. Matlock, J. G. Speer, M. J. Merwin, Scripta Mater., 2011, 64 (2),
185
.
Ferrite
Austenite
Image courtesy of Hyokyung Sung
and Sharvan Kumar, School of
Engineering, Brown University
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Hydrogen
Atmosphere,
Furnace
Cool
Experimental Laboratory Heats
Following previous literature • P. Gibbs, Ph. D. Thesis, Colorado School of Mines, 2012
Fe-0.15 C-10 Mn-1.5 Al-0.2 Si (wt pct)
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Expected Result from Previous Literature
[1] P. Gibbs, Ph. D. Thesis, Colorado School of Mines, 2012
Yield
Strength
(MPa)
Tensile
Strength
(MPa)
Total
Elongation
(%)
Uniform
Elongation
(%)
Expected1 780 1090 46 45
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Furnace cooling after reversion annealing produced
exceptional tensile properties, however, lower strengths
than targeted.
Tensile Properties After Reversion Annealing
Yield
Strength
(MPa)
Tensile
Strength
(MPa)
Total
Elongation
(%)
Uniform
Elongation
(%)
Expected1 780 1090 46 45
Furnace
Cooled 810 915 45 39
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Hydrogen
Atmosphere,
Furnace
Cool
Experimental Laboratory Heats
Following previous literature • P. Gibbs, Ph. D. Thesis, Colorado School of Mines, 2012
Fe-0.15 C-10 Mn-1.5 Al-0.2 Si (wt pct)
Nitrogen
Atmosphere,
Air Cool
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Tensile Properties After Reversion Annealing
Exceptional properties near DOE (1200 MPa) target
can be achieved using 10Mn concept.
Yield
Strength
(MPa)
Tensile
Strength
(MPa)
Total
Elongation
(%)
Uniform
Elongation
(%)
Expected 780 1090 46 45
Furnace
Cooled 810 915 45 39
Air Cooled
(ground) 750 1165 37 34
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QUENCHED AND PARTITIONED
(Q&P) STEEL
Laboratory Results from Experimental Heats of
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Q&P Microstructural Evolution
Time
Tem
pe
ratu
re
0 RT
Martensite
Start
Ms
Austenite
J. Speer, D. K. Matlock, B. C. De Cooman, and J. G.
Schroth, Acta Materialia, vol. 51, pp. 2611-2622, 2003.
Austenite
+ Martensite Carbon Enriched Austenite
+Carbon Depleted Martensite
+ “Fresh” Martensite
(+Ferrite)
Carbon Enriched Austenite
+Carbon Depleted Martensite
Martensite
Finish
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Q&P Microstructures
1 m
Ferrite
Martensite
Austenite SEM
500 nmEBSD
Austenite
G. Thomas, J. Speer, D. Matlock, J. Michael," Microscopy and Microanalysis, vol. 17, pp. 368-373, 2011.
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Q&P Steels—Tensile Properties
Previous Q&P literature has shown the capability to produce a wide range of
mechanical properties with enhanced elongation.
E. De Moor, P.J. Gibbs, J.G. Speer, D.K. Matlock, and J.G. Schroth, AIST Trans., Iron & Steel Technology, Vol. 7, No. 11, 2010, pp. 133-144.
E. De Moor, J.G. Speer, D.K. Matlock, J.-H. Kwak and S.-B Lee, ISIJ International, 51(1), 2011, pp. 137-144.
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Experimental Laboratory Heats
Following previous literature • E. De Moor, J.G. Speer, D.K. Matlock, J.-H. Kwak and S.-B Lee, ISIJ
International, 51(1), 2011, 137-144.
Fe-0.30 C-3 Mn-1.6 Si (wt pct)
Time
Tem
pe
ratu
re
0 RT
Ms
Mf
Ms
820 °C
180 °C
400 °C, 100 s
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[1] E. De Moor, J.G. Speer, D.K. Matlock, J.-H. Kwak and S.-B Lee, ISIJ International, 51(1), 2011, 137-144.
Expected Result from Previous Literature
Yield
Strength
(MPa)
Tensile
Strength
(MPa)
Total
Elongation
(%)
Uniform
Elongation
(%)
Expected1 1055 1490 17 15
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Tensile Properties after Q&P Treatment
Excellent properties near DOE (1500 MPa) target
can be achieved using Q&P concept.
Yield
Strength
(MPa)
Tensile
Strength
(MPa)
Total
Elongation
(%)
Uniform
Elongation
(%)
Expected 1055 1490 17 15
Achieved 1220 1540 19 16
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Advanced Methods–Coupled DIC and Synchrotron Diffraction
QP980
10Mn
Work performed by Prof. Fadi Abu-Farha, Clemson University; Louis
Hector Jr., General Motors;Argonne National Lab
Digital Image Correlation (DIC) System
Sample
Detector
Tensile Frame
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CONCLUSIONS
Next Steps and
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Conclusions
Laboratory materials with tensile properties near DOE targets have been produced
Additional (larger) lab heats are underway
Materials are being distributed to project partners for multi-scale testing and model calibration
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Acknowledgments
ICME “Steel Experts” Team:
• AK Steel—Kavesary Raghavan, Luis Garza
• ArcelorMittal—Debanshu Bhattacharya
• General Motors—Lou Hector Jr.
• Colorado School of Mines—Professors David Matlock, Emmanuel De Moor, & John Speer, Rana Radhakanta
• Nucor Steel—Dean Kanelos
• U.S. Steel—Bart DePompolo
• Steel Market Development Institute—Jody Hall, Eric McCarty
Brown University—Hyokyung Sung and Sharvan Kumar
Clemson University—Prof. Fadi Abu-Farha
Argonne National Lab
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DOE Acknowledgment/Disclaimer
This material is based upon work supported by the Department of Energy National Energy Technology Laboratory under Award Number: No. DE-EE0005976.
This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. Such support does not constitute an endorsement by the Department of Energy of the work or the views expressed herein.