Simulation of Dynamic Recrystallization Using Cellular Automaton Method
- 期刊名字:钢铁研究学报
- 文件大小:
- 论文作者:XIAO Hong,XIE Hong-biao,YAN Ya
- 作者单位:Yanshan University,University of Tokyo
- 更新时间:2022-11-03
- 下载次数:次
论文简介
A new modeling approach that couples fundamental metallurgical principles of dynamical recrystallization with the cellular automaton method was developed to simulate the microstructural evolution linking with the plastic flow behavior during thermomechanical processing. The driving force for the nucleation and growth of dynamically recrystallized grain is the volume free energy due to the stored dislocation density of a deformation matrix. The growth terminates the impingement. The model is capable of simulating kinetics, microstructure and texture evolution during recrystallization. The predictions of microstructural evolution agree with the experimental results.
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