Computer Simulation Of Grain Growth

The advancement of material science and computer technique is changing the research manners of material science, so that more and more quantitative investigation manners will be adopted rather than qualitative investigation manners usually used today along with the developments of computer models and emulation techniques.In recent years, the experimental literature clearly shows that MC simulation procedure and CA simulation procedure are employed to study grain growth. The researcher combines the manifestation technique of the calculator picture, reappearing material microstructures to turn into process vividly by picture, and develops a new path for the grain growth research.First, Monte Carlo Method is used to simulate grain growth process under periodic boundary condition. A new improved measurement method of grain size named recursive statistics method is introduced according to the fact that grain growth induced by displacement of single lattice around the grain boundary, and then recursive statistics method is used to measure grain size. Compare it with intercept method, the results show that grain size measured by recursive statistics method is more accurate than the one measured by intercept method, and measuring speed of statistics method is faster than other statistics method's. Secondly, the calculate method which makes use of Radhakrishnan e.t. is used to simulate of normal grain growth, and then made use of this method to study grain growth with mobile particles first time. The research shows that the modify method is similar suitable for the simulation of grain growth with mobile particles, and imitate an efficiency more faster than the Srolovitz's method, results are a nice match for the theories. Then, the modify method is used to simulate abnormal grain growth, and still have a higher emulation efficiency and get to match with theories on the emulation of abnormal grain growth.