采用Cellular automaton法模拟动态再结晶过程的研究

SIMULATION OF DYNAMIC RECRYTALLIZATION USING EXTENDED CELLULAR AUTOMATON METHOD

结合金属塑性成形过程的冶金学原理,给出了一种新的模拟动态再结晶过程的元胞自动机(Cellular automaton,CA)模型,用来模拟塑性变形过程中动态再结晶过程。再结晶晶粒的生长速度与再结晶驱动力成正比, 再结晶驱动力取决于晶界能和位错密度。在一个增量步内,根据动态再结晶晶粒生长速度确定与其相邻原胞转变 概率。采用本模型对不同温度、应变速度、应变条件下的动态再结晶过程进行了模拟,模拟结果与试验结果以及 经验公式得到的结果相一致。本模型也可用于再结晶动力学、微观组织和织构变化过程的模拟。

Based on the fundamental metallurgical principles of metal plastic forming, a novel cellular automaton (CA) model is proposed to simulate the microstructural evolution during plastic deformation. The growth velocity for recrystallized grain is proportional to the driving force of recrystallization, which is determined by the grain boundary energy and dislocation density. At each increment step, the transformation probability for the neighborhood sites of a recrystallized grain is dependent on its growth velocity. Using the model, dynamic recrystallization processes for different temperatures, strain rates and strains are simulated, and the predictions agree with the experimental results and analysis results by empirical equations. The model is capable of simulating kinetic, microstructure and texture development during recrystallization.