高温合金
材料科学
铸造
选择(遗传算法)
粒度
冶金
微观结构
计算机科学
人工智能
作者
Xintao Zhu,Fu Wang,Dexin Ma,Andreas Bührig–Polaczek
出处
期刊:Materials
[Multidisciplinary Digital Publishing Institute]
日期:2019-03-07
卷期号:12 (5): 789-789
被引量:9
摘要
Using electron backscattered diffraction techniques (EBSD) and optical microscopy (OM), the grain selection and competitive growth in a new-designed high-efficiency two-dimensional (2D) selector during solidification of Ni-based single-crystal (SX) superalloys have been investigated with emphasis on the geometry of the selector part in this article. It is found that the efficiency of the grain selector depends greatly on the thickness and eccentric distance of the selector part. When the thickness is smaller than 3 mm, a single grain can be selected. After reducing this value, the grain selector becomes more effective. When the eccentric distance is larger than 8 mm, one grain can be selected. As the eccentric distance increases, the selector's efficiency is optimized. Recommendations for optimizing the geometry of the selector part are provided.
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