Predictive integrated numerical approach for modeling spatio-temporal microstructure evolutions and grain size dependent phase transformations in steels

doi:10.1016/j.ijplas.2021.102952

IMR OpenIR

	Predictive integrated numerical approach for modeling spatio-temporal microstructure evolutions and grain size dependent phase transformations in steels
	Chen, Shuai-Feng 1,2,7; Bandyopadhyay, Kaushik 3; Basak, Shamik 1,2; Hwang, Byoungchul 4; Shim, Jae-Hyeok 5; Lee, Joonho 6; Lee, Myoung-Gyu 1,2
通讯作者	Lee, Joonho(joonholee@korea.ac.kr) ; Lee, Myoung-Gyu(myounglee@snu.ac.kr)
	2021-04-01
发表期刊	INTERNATIONAL JOURNAL OF PLASTICITY
ISSN	0749-6419
卷号	139 页码:22
摘要	A 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.
关键词	Integrated modeling Cellular automaton Finite element method Microstructure evolution Phase transformations
资助者	Technology Innovation Program - Ministry of Trade, Industry and Energy (MOTIE) ; KIAT ; NRF of Korea (ERC) ; KU grant
DOI	10.1016/j.ijplas.2021.102952
收录类别	SCI
语种	英语
资助项目	Technology Innovation Program - Ministry of Trade, Industry and Energy (MOTIE)[10063488] ; KIAT[N0002598] ; NRF of Korea (ERC)[2019R1A5A6099595] ; KU grant
WOS研究方向	Engineering ; Materials Science ; Mechanics
WOS类目	Engineering, Mechanical ; Materials Science, Multidisciplinary ; Mechanics
WOS记录号	WOS:000632178100001
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计	被引频次：14[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/161533
专题	中国科学院金属研究所
通讯作者	Lee, Joonho; Lee, Myoung-Gyu
作者单位	1.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
推荐引用方式 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.