Simulation of normal grain growth based on cellular automata and Monte Carlo algorithm

Abstract

A three-dimensional simulation of the grain growth was conducted by means of cellular automata (CA) and Monte Carlo (MC) algorithm. The growth rate of grain, its microstructure evolution and size distribution can be predicted according to evolution simulation. Evolution process of such model-microstructures can be used to simulate the real physical-metallurgy processes and to predict quantitative dynamic information of the evolution of microstructure. This method is also useful for optimization of materials properties by controlling the microstructure evolution.