Crystal plasticity modeling of 3rd generation multi-phase AHSS with martensitic transformation
Abstract
Here, a systematic constitutive modeling and calibration methodology were developed based on rate-independent crystal plasticity to predict the quasi static macroscopic behavior of 3rd generation multiphase advanced high strength steels (3GAHSS) prepared with a quenching and partitioning (Q&P) process. In the constitutive law, martensitic phase transformation induced by the elastic-plastic deformation of the retained austenite is represented by considering the Bain strain, the lattice invariant shear deformation, and the orientation relationship between parent austenite and transformed martensite. The amount that each martensite variant evolves is obtained through an optimization scheme that constrains the plastic deformation of the retained austenite to have minimum-energy during phase transformation. In-situ high energy X-ray diffraction (HEXRD) tensile test data was utilized for the characterization and calibration of the material model. Dislocation density based hardening parameters were separately obtained for each phase by iteratively performing crystal plasticity finite element (CPFE) simulations until the simulated stress-strain curves matched the experimentally measured curves from in-situ HEXRD. The 3D representative volume element (RVE) for the 3GAHSS was generated by utilizing Dream.3D and the MTEX Matlab toolbox software. The distributions of grain size and crystal orientation were analyzed based on the measured EBSD data and accounted for in the generationmore »
- Authors:
-
- The Ohio State Univ., Columbus, OH (United States)
- GM Global Research and Development, Warren, MI (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Clemson University-International Centre for Automotive Research (CU-ICAR), Greenville, SC (United States)
- Univ. of Illinois, Urbana-Champaign, IL (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- OSTI Identifier:
- 1542212
- Grant/Contract Number:
- AC05-00OR22725; EE000597
- Resource Type:
- Accepted Manuscript
- Journal Name:
- International Journal of Plasticity
- Additional Journal Information:
- Journal Volume: 120; Journal Issue: C; Journal ID: ISSN 0749-6419
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; 3GAHSS; Martensitic phase transformation; Crystal plasticity; 3D RVE; In-situ HEXRD; Forming limit curves
Citation Formats
Park, Taejoon, Hector, Louis G., Hu, Xiaohua, Abu-Farha, Fadi, Fellinger, Michael R., Kim, Hyunki, Esmaeilpour, Rasoul, and Pourboghrat, Farhang. Crystal plasticity modeling of 3rd generation multi-phase AHSS with martensitic transformation. United States: N. p., 2019.
Web. doi:10.1016/j.ijplas.2019.03.010.
Park, Taejoon, Hector, Louis G., Hu, Xiaohua, Abu-Farha, Fadi, Fellinger, Michael R., Kim, Hyunki, Esmaeilpour, Rasoul, & Pourboghrat, Farhang. Crystal plasticity modeling of 3rd generation multi-phase AHSS with martensitic transformation. United States. https://doi.org/10.1016/j.ijplas.2019.03.010
Park, Taejoon, Hector, Louis G., Hu, Xiaohua, Abu-Farha, Fadi, Fellinger, Michael R., Kim, Hyunki, Esmaeilpour, Rasoul, and Pourboghrat, Farhang. Mon .
"Crystal plasticity modeling of 3rd generation multi-phase AHSS with martensitic transformation". United States. https://doi.org/10.1016/j.ijplas.2019.03.010. https://www.osti.gov/servlets/purl/1542212.
@article{osti_1542212,
title = {Crystal plasticity modeling of 3rd generation multi-phase AHSS with martensitic transformation},
author = {Park, Taejoon and Hector, Louis G. and Hu, Xiaohua and Abu-Farha, Fadi and Fellinger, Michael R. and Kim, Hyunki and Esmaeilpour, Rasoul and Pourboghrat, Farhang},
abstractNote = {Here, a systematic constitutive modeling and calibration methodology were developed based on rate-independent crystal plasticity to predict the quasi static macroscopic behavior of 3rd generation multiphase advanced high strength steels (3GAHSS) prepared with a quenching and partitioning (Q&P) process. In the constitutive law, martensitic phase transformation induced by the elastic-plastic deformation of the retained austenite is represented by considering the Bain strain, the lattice invariant shear deformation, and the orientation relationship between parent austenite and transformed martensite. The amount that each martensite variant evolves is obtained through an optimization scheme that constrains the plastic deformation of the retained austenite to have minimum-energy during phase transformation. In-situ high energy X-ray diffraction (HEXRD) tensile test data was utilized for the characterization and calibration of the material model. Dislocation density based hardening parameters were separately obtained for each phase by iteratively performing crystal plasticity finite element (CPFE) simulations until the simulated stress-strain curves matched the experimentally measured curves from in-situ HEXRD. The 3D representative volume element (RVE) for the 3GAHSS was generated by utilizing Dream.3D and the MTEX Matlab toolbox software. The distributions of grain size and crystal orientation were analyzed based on the measured EBSD data and accounted for in the generation of the 3D RVE. For verification and validation of the constitutive model, crystal plasticity finite element simulations of a uniaxial tensile test were enacted using the developed material model and the generated 3D RVE. Additional hypothetical RVEs were also generated by manipulating phase volume fractions, phase transformation speed, and phase properties to determine if these virtual 3GAHSS steels have improved mechanical properties. Additionally, forming limit curves (FLC) for the multiphase 3GAHSS were predicted from the CPFE simulation results.},
doi = {10.1016/j.ijplas.2019.03.010},
journal = {International Journal of Plasticity},
number = C,
volume = 120,
place = {United States},
year = {Mon Apr 01 00:00:00 EDT 2019},
month = {Mon Apr 01 00:00:00 EDT 2019}
}
Web of Science
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