[SY-I2] The Kinetics of Ideal Grain Growth: A Large Scale Monte Carlo Simulation
Most of the metallic materials are polycrystalline aggregates, understanding the grain growth kinetics and controlling the grain size are important for predicting the microstructure of polycrystalline materials and preparing bulk nanomaterials. Although some theoretical equations for the ideal grain growth kinetics have been proposed, it is difficult to achieve an ideal grain growth process experimentally.
A considerable number of Monte Carlo simulations of the grain growth process have been reported, but none of the simulation results accurately match the ideal three-dimensional grain growth kinetics. In this paper, Monte Carlo method was used to simulate the three-dimensional grain growth process of metal. The effect of model temperature and model size on the dynamic simulation results of grain growth was studied. The grain size distribution during grain growth was analyzed. Large-scale simulation results show that the ideal grain growth kinetics accords with the theoretically predicted parabolic law, and the grain size distribution at the steady state stage is consistent with the Weibull distribution function.
A considerable number of Monte Carlo simulations of the grain growth process have been reported, but none of the simulation results accurately match the ideal three-dimensional grain growth kinetics. In this paper, Monte Carlo method was used to simulate the three-dimensional grain growth process of metal. The effect of model temperature and model size on the dynamic simulation results of grain growth was studied. The grain size distribution during grain growth was analyzed. Large-scale simulation results show that the ideal grain growth kinetics accords with the theoretically predicted parabolic law, and the grain size distribution at the steady state stage is consistent with the Weibull distribution function.