通过机器学习预测钢的相变温度

Yupeng Zhang1, Lin Cheng1, Aonan Pan1

  • 1The State Key Laboratory of Refractories and Metallurgy, Hubei Province Key Laboratory of Systems Science on Metallurgical Processing, International Research Institute for Steel Technology, Collaborative Center on Advanced Steels, Wuhan University of Science and Technology, Wuhan 430081, China.

PubMed
概括

这项研究使用了改进的LightGBM模型来预测钢相转换温度 (Ac1,Ac3,马氏体启动 (MS),贝尼特启动 (BS)). 原子参数显著提高了预测的准确性,揭示了钢铁加工的关键影响因素.

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