典型文献
Simulation of α-Al grain formation in high vacuum die-casting Al-Si-Mg alloys with multi-component quantitative cellular automaton method
文献摘要：
Al-Si-Mg alloys are the most commonly used material in high vacuum die-casting (HVDC), in which the morphology and distribution of α-Al grains have important effect on mechanical properties. A multi-component quantitative cellular automaton (CA) model was developed to simulate the microstructure and microsegregation of HVDC Al-Si-Mg alloys with different Si contents (7％ and 10％) and cooling rates during solidification. The grain number and average grain size with electron backscatter diffraction (EBSD) analysis were used to verify the simulation. The relationship between grain size and nucleation order as well as nuclei density was investigated and discussed. It is found that the growth of grains will be restrained in the location with higher nuclei density. The influence of composition and cooling rate on the solute transport reveals that for AlSi7Mg0.3 alloy the concentration of solute Mg in liquid is higher at the beginning of eutectic solidification. The comparison between simulation and experiment results shows that externally solidified crystals (ESCs) have a significant effect for samples with high cooling rate and narrow solidification interval.
文献关键词：
中图分类号：
作者姓名：
Yong-zhi Hao;Hai-dong Zhao;Xu Shen;Xue-ling Wang;Hui-ting Zheng
作者机构：
National Engineering Research Center of Near-Net-Shape Forming for Metallic Materials,South China University of Technology,Guangzhou 510641,China
文献出处：
引用格式：
[1]Yong-zhi Hao;Hai-dong Zhao;Xu Shen;Xue-ling Wang;Hui-ting Zheng-.Simulation of α-Al grain formation in high vacuum die-casting Al-Si-Mg alloys with multi-component quantitative cellular automaton method)[J].中国铸造,2022(02):99-108
A类：
AlSi7Mg0
B类：
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AB值：
0.539556
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