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Predictive integrated numerical approach for modeling spatio-temporal microstructure evolutions and grain size dependent phase transformations in steels
Chen, Shuai-Feng1,2,7; Bandyopadhyay, Kaushik3; Basak, Shamik1,2; Hwang, Byoungchul4; Shim, Jae-Hyeok5; Lee, Joonho6; Lee, Myoung-Gyu1,2
Corresponding AuthorLee, Joonho(joonholee@korea.ac.kr) ; Lee, Myoung-Gyu(myounglee@snu.ac.kr)
2021-04-01
Source PublicationINTERNATIONAL JOURNAL OF PLASTICITY
ISSN0749-6419
Volume139Pages:22
AbstractA computational modeling for predicting microstructure evolutions and mechanical properties of steels under thermo-mechanical-metallurgical process is established, for the first time, by integrating the finite element (FE) simulation, cellular automaton simulation (CA), and phase transformation kinetics. In this microstructural-integrated modeling, various recrystallization processes, such as dynamic recrystallization (DRX), meta-DRX, and static recrystallization (SRX), are formulated based on dislocation density based constitutive laws. With microstructure information provided by the CA modeling, the austenite grain size (AGS)-dependent phase kinetics in the form of continuous cooling transformation (CCT) diagram is applied for addressing the effect of AGS on transformations under various cooling conditions. The integrated numerical approach implemented in the FE software via user defined subroutines can simulate the morphology and size distribution of constituent grains, transformed fractions of various phases, hardness profiles and flow stresses after thermo-mechanical process with large plastic deformation. As a validation of the integrated modeling, the multiple oval-round pass hot rolling and subsequent cooling process are simulated for the seismic reinforcing steel bar and the predicted microstructure and mechanical properties are compared to those of experimental data.
KeywordIntegrated modeling Cellular automaton Finite element method Microstructure evolution Phase transformations
Funding OrganizationTechnology Innovation Program - Ministry of Trade, Industry and Energy (MOTIE) ; KIAT ; NRF of Korea (ERC) ; KU grant
DOI10.1016/j.ijplas.2021.102952
Indexed BySCI
Language英语
Funding ProjectTechnology Innovation Program - Ministry of Trade, Industry and Energy (MOTIE)[10063488] ; KIAT[N0002598] ; NRF of Korea (ERC)[2019R1A5A6099595] ; KU grant
WOS Research AreaEngineering ; Materials Science ; Mechanics
WOS SubjectEngineering, Mechanical ; Materials Science, Multidisciplinary ; Mechanics
WOS IDWOS:000632178100001
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/161533
Collection中国科学院金属研究所
Corresponding AuthorLee, Joonho; 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.IIT Bhilai, Dept Mech Engn, Raipur 492015, Madhya Pradesh, India
4.Seoul Natl Univ Sci & Technol, Dept Mat Sci & Engn, Seoul 01811, South Korea
5.Korea Inst Sci & Technol, Ctr Energy Mat Res, Seoul 02792, South Korea
6.Korea Univ, Dept Mat Sci & Engn, Seoul 02841, South Korea
7.Chinese Acad Sci, Inst Met Res, Shenyang 110016, Peoples R China
Recommended Citation
GB/T 7714
Chen, Shuai-Feng,Bandyopadhyay, Kaushik,Basak, Shamik,et al. Predictive integrated numerical approach for modeling spatio-temporal microstructure evolutions and grain size dependent phase transformations in steels[J]. INTERNATIONAL JOURNAL OF PLASTICITY,2021,139:22.
APA Chen, Shuai-Feng.,Bandyopadhyay, Kaushik.,Basak, Shamik.,Hwang, Byoungchul.,Shim, Jae-Hyeok.,...&Lee, Myoung-Gyu.(2021).Predictive integrated numerical approach for modeling spatio-temporal microstructure evolutions and grain size dependent phase transformations in steels.INTERNATIONAL JOURNAL OF PLASTICITY,139,22.
MLA Chen, Shuai-Feng,et al."Predictive integrated numerical approach for modeling spatio-temporal microstructure evolutions and grain size dependent phase transformations in steels".INTERNATIONAL JOURNAL OF PLASTICITY 139(2021):22.
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