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

机译:基于蜂窝自动机和蒙特卡罗算法的正常晶粒生长模拟

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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.
机译:通过细胞自动机(CA)和蒙特卡罗(MC)算法进行晶粒生长的三维模拟。可以根据演进模拟预测谷物的生长速率,其微观结构演化和尺寸分布。这种模型微结构的演化过程可用于模拟真实的物理冶金过程并预测微观结构演化的定量动态信息。该方法还可用于通过控制微观结构演化来优化材料特性。

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