Simulation of Grain Growth by CA Introduced in Physical Time
Abstract
A cellular automata model introduced in physical time was used to simulate normal grain growth for building a good relationship between computer simulation and physical phenomenon, the model can be used for annealing process of materials under water. Results show, the average grain area and simulation time coincides with the linear relationship, the grain growth exponent n is 0.4587. In comparison to the Louat and the Log-normal function, grain size distribution in simulation accords better with the Weibull function, and the cutoff of R/Ra is around 2.2. Correlation between An/A and grain sides is closer to the linear relationship. The correlation between rnb,n/rn and grain sides accords with Nordbakke’s relationship basically. The average grain sides in the process of simulation are close to six. Although energy change was not considered in the simulation, the total system energy gradually decreases as the simulation goes on.
