退火过程中晶粒生长的二维计算机模拟

由于多晶体材料中晶粒取向不同，对晶粒的生长产生影响。本文以蒙特卡罗（ＭonteCarlo)方法为基础，通过对Ｐotts算法的改进，建立快速的Ｐotts算法，实现了对多晶材料在退火中晶粒生长过程的结构演化的计算机模拟和统计分析，与以前的模拟过程相比，计算量减少，逼真度较高，生长指数的模拟值约为１／３，与正常晶粒拓扑演化和理论分析的生长动力学相符合。

Computer Simulation of Grain Growth in Two Dimensions in Annealing Process

The grain growth is effected by the orientation of grains in polycrystalline materials. Based on the Monte-Carlo method and Potts algorithm, the quick Q-state Potts algorithm was presented. The computer simulation of temporal microstrutural evolution of grain growth in polycrystalline materials and statistical analysis were carried out. The numerical treatment is more simple compared with the previous models. The simulating growth exponent is about 1/3. The temporal microstructural evolution of normal grain growth accords with the growth kinetics.