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

机译:基于元胞自动机和蒙特卡洛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:利用细胞自动机(CA)和蒙特卡洛(MC)算法进行了晶粒长大的三维模拟。通过演化模拟可以预测晶粒的生长速度,晶粒的组织演变和尺寸分布。这种模型-微观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。通过控制微观结构的演变,该方法对于优化材料性能也很有用。

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