Machine learning-based predictions and analyses of the creep rupture life of the Ni-based single crystal superalloy.

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第一作者： Fan,Zou

第一单位： School of Traffic & Transportation Engineering, Central South University, Changsha, 410083, China.;School of Intelligent Manufacturing and Mechanical Engineering, Hunan Institute of Technology, Hengyang, 421002, China.

作者： Fan,Zou ^[1] ; Pengjie,Liu ^[2] ; Yanzhan,Chen ^[3] ; Yaohua,Zhao ^[3]

作者单位： School of Traffic & Transportation Engineering, Central South University, Changsha, 410083, China.;School of Intelligent Manufacturing and Mechanical Engineering, Hunan Institute of Technology, Hengyang, 421002, China. ^[1] School of Traffic & Transportation Engineering, Central South University, Changsha, 410083, China. pengjieliu_1112@163.com. ^[2] School of Traffic & Transportation Engineering, Central South University, Changsha, 410083, China. ^[3]

关键词 Creep property prediction Shapley additive explanations Sparrow optimization algorithm XGBoost

DOI 10.1038/s41598-024-71431-1

PMID 39237729

发布时间 2024-09-10

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