TY - JOUR
T1 - Predictive integrated numerical approach for modeling spatio-temporal microstructure evolutions and grain size dependent phase transformations in steels
AU - Chen, Shuai Feng
AU - Bandyopadhyay, Kaushik
AU - Basak, Shamik
AU - Hwang, Byoungchul
AU - Shim, Jae Hyeok
AU - Lee, Joonho
AU - Lee, Myoung Gyu
N1 - Funding Information:
This work was supported by the Technology Innovation Program (Grant No. 10063488 ) funded by the Ministry of Trade, Industry and Energy (MOTIE). S.F.C. and M.G.L. appreciate the supports from KIAT (Project No. N0002598) and NRF of Korea (ERC Grant No. 2019R1A5A6099595 ). During his stay at Korea Dr. Bandyopadhyay was supported by KU grant.
Publisher Copyright:
© 2021 Elsevier Ltd.
PY - 2021/4
Y1 - 2021/4
N2 - 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.
AB - 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.
KW - Cellular automaton
KW - Finite element method
KW - Integrated modeling
KW - Microstructure evolution
KW - Phase transformations
UR - http://www.scopus.com/inward/record.url?scp=85102892649&partnerID=8YFLogxK
U2 - 10.1016/j.ijplas.2021.102952
DO - 10.1016/j.ijplas.2021.102952
M3 - Article
AN - SCOPUS:85102892649
SN - 0749-6419
VL - 139
JO - International Journal of Plasticity
JF - International Journal of Plasticity
M1 - 102952
ER -