Numerical simulation of vacuum consumable arc melting optimization for high alloy stainless bearing steel
WANG Yang1, MA Dangshen1, YANG Maosheng1, LI Jingshe2, YANG Shufeng3
1. Special Steel Research Institute, Iron and Steel Research Institute Co., Ltd., Beijing 100081, China; 2. School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China; 3. State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing, Beijing 100083, China
Abstract：In order to obtain a more uniform and clean high alloy stainless bearing steel product, numerical simulation methods were used to optimize the vacuum consumable arc melting process of a certain factory′s high alloy stainless bearing steel. Using simulation software MeltFlow-VAR, numerical calculations were conducted on the vacuum consumable arc melting process from the perspectives of melting rate, melt pool temperature, and effect of cooling water temperature on the distribution of inclusion particles. The results indicate that as the melting rate increases, the maximum depth of molten pool increases, and the melting rate should be greater than 3.0 kg/min. Considering the results of dendrite spacing and grain structure, the optimal melting rate is determined to be 3.5 kg/min. As the temperature of molten pool increases, the maximum depth of molten pool first increases and then decreases. When the temperature of molten pool is 1 600 ℃, the depth of molten pool reaches its maximum, and the arc curve of molten pool shows full bowl shape. The distribution of inclusion particles inside the ingot under different cooling water temperatures was predicted through numerical calculations, and industrial experiments were conducted to verify it. The optimal cooling water temperature is found to be 25 ℃. The research results have certain guiding significance for the production of high alloy stainless bearing steel.
王杨, 马党参, 杨卯生, 李京社, 杨树峰. 高合金不锈轴承钢真空自耗熔炼数值模拟优化[J]. 中国冶金, 2023, 33(9): 35-42.
WANG Yang, MA Dangshen, YANG Maosheng, LI Jingshe, YANG Shufeng. Numerical simulation of vacuum consumable arc melting optimization for high alloy stainless bearing steel[J]. China Metallurgy, 2023, 33(9): 35-42.
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