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作 者:宋迎德[1] 郝海[1] 张爱民[1] 李明[1] 张兴国[1]
机构地区:[1]大连理工大学材料科学与工程学院,辽宁大连116024
出 处:《铸造》2012年第6期626-631,共6页Foundry
基 金:国家高技术研究发展计划(2009AA03Z525);教育部新世纪优秀人才支持计划(NCET-08-0080);大连市科学技术基金(2009J21DW003)
摘 要:建立了一种新的模型来模拟镁合金凝固组织,该模型采用了概率性元胞法(正方形元胞、四邻胞配置)。凝固过程中的形核由高斯分布形核模型控制;枝晶的晶向随机定义;枝晶尖端的生长速度由KGT模型计算后拟合成三次多项式;元胞的捕捉和状态转换规则由针对镁合金密排六方特性设计的角点生长算法控制。利用该模型计算了单个及多个晶粒的生长过程,并通过多个晶粒模拟结果与实验结果的对比验证了模型的准确性。A probabilistic method-cellular automata method with square cells,von Neumann neighborhood configuration for microstructure simulation of magnesium alloys was developed.During the solidification process,nucleation was controlled by the Gaussian distribution model;the crystallographic orientation was taken randomly;the growth kinetics of dendrite tips were obtained by solving KGT model and the relationship between undercooling and growth rate of dendrite tips was established with a third order polynomial;corner growth algorithm was proposed and applied to determine the capture and state transition of the cell.By using this new method,the growth of a single grain and more grains was simulated.The good agreement between experiments and simulation results of more grains shows the efficiency of this method.
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