This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Integrated Computational Materials Engineering (ICME) Multi-Scale Model Development for Advanced High Strength Steels
Technical Paper
2017-01-0226
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
This paper presents development of a multi-scale material model for a 980 MPa grade transformation induced plasticity (TRIP) steel, subject to a two-step quenching and partitioning heat treatment (QP980), based on integrated computational materials engineering principles (ICME Model). The model combines micro-scale material properties defined by the crystal plasticity theory with the macro-scale mechanical properties, such as flow curves under different loading paths. For an initial microstructure the flow curves of each of the constituent phases (ferrite, austenite, martensite) are computed based on the crystal plasticity theory and the crystal orientation distribution function. Phase properties are then used as an input to a state variable model that computes macro-scale flow curves while accounting for hardening caused by austenite transformation into martensite under different straining paths. The ICME model calibration is implemented in the LS-OPT analysis tool as a component of an optimization process. The final result of the ICME Model calibration is a user-defined material subroutine, implemented in LS-DYNA finite element analysis software, which can be subsequently used in vehicle crashworthiness performance simulations.
Recommended Content
Authors
- Vesna Savic - General Motors LLC
- Louis Hector - General Motors LLC
- Ushnish Basu - Livermore Software Technology Corp
- Anirban Basudhar - Livermore Software Technology Corp
- Imtiaz Gandikota - Livermore Software Technology Corp
- Nielen Stander - Livermore Software Technology Corp
- Taejoon Park - Ohio State University
- Farhang Pourboghrat - Ohio State University
- Kyoo Sil Choi - Pacific Northwest National Laboratory
- Xin Sun - Pacific Northwest National Laboratory
- Jun Hu - Clemson University
- Fadi Abu-Farha - Clemson University
- Sharvan Kumar - Brown University
Citation
Savic, V., Hector, L., Basu, U., Basudhar, A. et al., "Integrated Computational Materials Engineering (ICME) Multi-Scale Model Development for Advanced High Strength Steels," SAE Technical Paper 2017-01-0226, 2017, https://doi.org/10.4271/2017-01-0226.Also In
References
- National Research Council Integrated Computational Materials Engineering. A Transformational Discipline for Improved National Competitiveness and National Security The National Academies Press Washington, DC 978-0-309-11999-3 2008 http://www.nap.edu/catalog/12199.html
- Chopra , N. Integrated Computational Materials Engineering: A Multi-Scale Approach The Journal of The Minerals, Metals & Materials Society 67 1 118 119 2015 10.1007/s11837-014-1260-0
- Backman , D.G. , Wei , D.Y. , Whitis , D.D. et al. ICME at GE: Accelerating the insertion of new materials and processes The Journal of The Minerals, Metals & Materials Society 58 36 41 2006 10.1007/s11837-006-0225-3
- Bolcavage , A. et al. Integrated computational materials engineering from a gas turbine engine perspective Integrating Materials and Manufacturing Innovation 3 13 2014 10.1186/2193-9772-3-13
- http://www.lockheedmartin.com/us/what-we-do/emerging/nanotechnology/icme.html
- Das , P. , Yeddula , R.R. , Reddy , S. A Model Driven Framework for Integrated Computational Materials Engineering 2nd Modelling Symposium (ModSym 2016) - colocated with ISEC 2016 Goa, India Feb 18, 2016
- Glavicic , M.G. and Venkatesh , V. Integrated Computational Materials Engineering of Titanium: Current Capabilities Being Developed Under the Metals Affordability Initiative The Journal of The Minerals, Metals & Materials Society 66 7 1310 1320 2014 10.1007/s11837-014-1013-0
- Wang , D. et al. Integrated Computational Materials Engineering (ICME) Approach to Design of Novel Microstructures for Ti-Alloys The Journal of The Minerals, Metals & Materials Society 66 7 1287 1298 2014 10.1007/s11837-014-1011-2
- Li , D. et al. Yield Asymmetry Design of Magnesium Alloys by Integrated Computational Materials Engineering Computational Materials Science 79 448 455 2013 10.1016/j.commatsci.2013.06.045
- Allison , J. , Liu , B. , Boyle , K.P. , Hector , L.G. , Jr. Integrated Materials Engineering for Magnesium in Automotive Body Applications Magnesium Technology 2010 Agnew , S.R. , Neelameggham , N.R. , Nyberg , E.A. , Sillekens , W.H. The Minerals, Metals & Materials Society Warrendale, PA 35 40 978-0-87339-746-9 2010
- Joost , W. J. Reducing Vehicle Weight and Improving U.S. Energy Efficiency Using Integrated Computational Materials Engineering The Journal of The Minerals, Metals & Materials Society 64 9 1032 1038 2012 10.1007/s11837-012-0424-z
- Savic , V. , Hector , L. , Ezzat , H. , Sachdev , A. et al. Integrated Computational Materials Engineering (ICME) for Third Generation Advanced High-Strength Steel Development SAE Technical Paper 2015-01-0459 2015 10.4271/2015-01-0459
- Zamiri , A.R. , Pourboghrat , F. A novel yield function for single crystals based on combined constraints optimization International Journal of Plasticity 26 731 746 2010 10.1016/j.ijplas.2009.10.004
- Ghassemi-Armaki , H. , Chen , P. , Bhat , S. , Sadagopan , S. et al. Microscale-calibrated Modeling of the Deformation Response of Low-carbon Martensite Acta Materialia 61 3640 3652 2013 10.1016/j.actamat.2013.02.051
- Choi , K.S. , Liu , W.N. , Sun , X. , Khaleel , M.A. Microstructure-based Constitutive Modeling of TRIP Steel: Prediction of Ductility and Failure Modes under Different Loading Conditions Acta Materialia 57 2592 2604 2009 10.1016/j.actamat.2009.02.020
- Olsen , G.B. and Cohen , M. Kinetics of strain-induced martensitic nucleation Metallurgical Transactions A 6 791 795 1975 10.1007/BF02672301
- Jia , N. , Cong , Z.H. , Sun , X. , Cheng , S. et al. An in situ high-energy X-ray diffraction study of micromechanical behavior of multiple phases in advanced high-strength steels Acta Materialia 57 3965 3977 2009 10.1016/j.actamat.2009.05.002
- http://www.lstc.com/products/ls-opt
- Stander , N. , Basudhar , A. , Basu , U. , Gandikota , I. et al. Multi-scale Material Parameter Identification Using LS-DYNA® and LS-OPT® 10th European LS-DYNA Conference Würzburg, Germany June 15-17, 2015
- http://www.lstc.com/products/ls-dyna