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A fully coupled crystal plasticity-cellular automata model for predicting thermomechanical response with dynamic recrystallization in AISI 304LN stainless steel
Park, Jinheung1,2; Rout, Matruprasad3; Min, Kyung-Mun1,2; Chen, Shuai-Feng4; Lee, Myoung-Gyu1,2
Corresponding AuthorChen, Shuai-Feng(chensf@imr.ac.cn) ; Lee, Myoung-Gyu(myounglee@snu.ac.kr)
2022-04-01
Source PublicationMECHANICS OF MATERIALS
ISSN0167-6636
Volume167Pages:19
AbstractA microstructure-based multiscale framework was developed to physically correlate the microstructure evolution and mechanical behavior of AISI 304LN stainless steel during the thermomechanical process. The developed model couples a crystal plasticity finite element method (CPFEM) to simulate heterogeneous deformation and a probabilistic cellular automata (CA) approach with a dynamic recrystallization (DRX) model to simulate microstructure evolution. Specifically, the CA model was built with formulations with physical meaning and combined with CPFEM by updating algorithms with higher robustness. The developed model was validated by comparing it with the experimental results of AISI 304LN stainless steel under thermo-mechanical processing at various temperatures and strain rates. The predicted flow stresses, grain sizes, DRX volume fraction, and deformed texture match well with the experimental data. Additionally, the developed model can simulate microstructure evolution by the DRX process, whereby the evolutions of recrystallized grains and pole figures can be examined. Moreover, the mechanical responses during the nucleation and growth of recrystallized grains can be characterized by in-depth quantitative analysis considering grain-level deformation inhomogeneity.
KeywordThermomechanical process Dynamic recrystallization Crystal plasticity finite element method Cellular automata model
Funding OrganizationKorea Institute for Advancement of Technology (KIAT) - Korea Government (MOTIE) ; National Research Foundation (NRF) of Korea ; KIAT ; Institute of Metal Research, Chinese Academy of Sciences
DOI10.1016/j.mechmat.2022.104248
Indexed BySCI
Language英语
Funding ProjectKorea Institute for Advancement of Technology (KIAT) - Korea Government (MOTIE)[P0002019] ; National Research Foundation (NRF) of Korea[2021M3H4A6A01045764] ; National Research Foundation (NRF) of Korea[2020R1A2B5B01097417] ; KIAT[N0002598] ; Institute of Metal Research, Chinese Academy of Sciences[E055A501]
WOS Research AreaMaterials Science ; Mechanics
WOS SubjectMaterials Science, Multidisciplinary ; Mechanics
WOS IDWOS:000761008300003
PublisherELSEVIER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/173245
Collection中国科学院金属研究所
Corresponding AuthorChen, Shuai-Feng; Lee, Myoung-Gyu
Affiliation1.Seoul Natl Univ, Dept Mat Sci & Engn, Seoul 08826, South Korea
2.Seoul Natl Univ, RIAM, Seoul 08826, South Korea
3.Natl Inst Technol, Dept Prod Engn, Tiruchirappalli 620015, Tamil Nadu, India
4.Chinese Acad Sci, Shi Changxu Innovat Ctr Adv Mat, Inst Met Res, Shenyang 110016, Peoples R China
Recommended Citation
GB/T 7714
Park, Jinheung,Rout, Matruprasad,Min, Kyung-Mun,et al. A fully coupled crystal plasticity-cellular automata model for predicting thermomechanical response with dynamic recrystallization in AISI 304LN stainless steel[J]. MECHANICS OF MATERIALS,2022,167:19.
APA Park, Jinheung,Rout, Matruprasad,Min, Kyung-Mun,Chen, Shuai-Feng,&Lee, Myoung-Gyu.(2022).A fully coupled crystal plasticity-cellular automata model for predicting thermomechanical response with dynamic recrystallization in AISI 304LN stainless steel.MECHANICS OF MATERIALS,167,19.
MLA Park, Jinheung,et al."A fully coupled crystal plasticity-cellular automata model for predicting thermomechanical response with dynamic recrystallization in AISI 304LN stainless steel".MECHANICS OF MATERIALS 167(2022):19.
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