铸造2012，Vol.61Issue(6)：626-631,6.
基于角点生长算法的镁合金晶粒组织模拟
Grain Structure Simulation of Magnesium Alloy Based on Corner Growth Algorithm
摘要
Abstract
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; comer 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.关键词
镁合金/元胞自动机方法/角点生长算法/组织模拟Key words
magnesium alloy/ cellular automata method/ comer growth algorithm/ microstructure simulation分类
矿业与冶金引用本文复制引用
宋迎德,郝海,张爱民,李明,张兴国..基于角点生长算法的镁合金晶粒组织模拟[J].铸造,2012,61(6):626-631,6.基金项目
国家高技术研究发展计划(2009AA03Z525) （2009AA03Z525）
教育部新世纪优秀人才支持计划(NCET-08-0080) （NCET-08-0080）
大连市科学技术基金(2009J21DW003). （2009J21DW003）
