Modeling and simulation of dynamic recrystallization behavior for 42CrMo steel by an extended cellular automaton method

• Published in: Vacuum Vol. 146; pp. 142 - 151
• Main Authors: Chen, Ming-Song, Yuan, Wu-Quan, Lin, Y.C., Li, Hong-Bin, Zou, Zong-Huai
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.12.2017
• Subjects: 42CrMo steel; Cellular automaton; Dynamic recrystallization; Initial grain size; Recrystallization kinetics; Recrystallization kinetics; Cellular automaton; Initial grain size; Dynamic recrystallization; 42CrMo steel
• ISSN: 0042-207X; 1879-2715
• DOI: 10.1016/j.vacuum.2017.09.041

The dynamic recrystallization (DRX) behavior of 42CrMo steel was studied by hot compressive tests and cellular automaton (CA) simulation. The experimental results showed that initial grain size besides deformation parameters has an obvious influence on dynamic recrystallization (DRX) behavior. It is found that the initial grain size not only influences the number of DRX nucleation site, but also the work-hardening (WH) coefficient, dynamic recovery (DRV) coefficient, DRX nucleation rate and grain boundary (GB) mobility. Moreover, the relationships between the WH coefficient, DRV coefficient, DRX nucleation rate, GB mobility and initial grain size can be well described by the power function. Based on the findings, the traditional CA model was extended to describe the effect of initial grain size on DRX behavior. The comparison between experimental and simulated results showed that the microstructural evolution of 42CrMo steel with different initial grain sizes during hot deformation can be accurately simulated by the extended CA model. •The increase of initial grain size increases DRX grain size after a cycle complete DRX.•The traditional CA model was extended to consider the effect of initial grain size.•Relationships between CA model parameters and initial grain size can be described by power functions.