An explainable machine learning model for superalloys creep life prediction coupling with physical metallurgy models and CALPHAD
文献类型:期刊论文
作者 | Huang, Yuyu1,2; Liu, Jide1,2; Zhu, Chongwei1,2; Wang, Xinguang2; Zhou, Yizhou2; Sun, Xiaofeng2; Li, Jinguo2 |
刊名 | COMPUTATIONAL MATERIALS SCIENCE
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出版日期 | 2023-08-01 |
卷号 | 227页码:11 |
关键词 | Creep life prediction Explainable machine learning Physical metallurgy models CALPHAD |
ISSN号 | 0927-0256 |
DOI | 10.1016/j.commatsci.2023.112283 |
通讯作者 | Liu, Jide(jdliu@imr.ac.cn) |
英文摘要 | Data-driven research mode plays an increasingly important role in scientific research. In this study, a dimen-sionality reduction strategy coupling with physical metallurgy models and CALPHAD method was proposed to established a machine learning model for Ni-based single crystal creep life prediction. SHAP analysis was applied to explain the internal mechanisms and the final results of the model. The results showed that the model was of good prediction accuracy and its prediction results could be reasonably explained. Thus, the model can be applied to predict the creep lives of engineering-applied superalloys and to search for the relationship between microstructures and creep lives of superalloys, which is expected to be applied to the design of new alloy. |
资助项目 | National Science and Technology Major Project[J2019 -VI -0023-0139] ; National Science and Technology Major Project[J2019 -VII -0004- 0144] ; National Natural Science Foundation of China[51871221] ; National Key R amp; D Program of China[2020YFA0714900] |
WOS研究方向 | Materials Science |
语种 | 英语 |
WOS记录号 | WOS:001011948100001 |
出版者 | ELSEVIER |
资助机构 | National Science and Technology Major Project ; National Natural Science Foundation of China ; National Key R amp; D Program of China |
源URL | [http://ir.imr.ac.cn/handle/321006/178366] ![]() |
专题 | 金属研究所_中国科学院金属研究所 |
通讯作者 | Liu, Jide |
作者单位 | 1.Univ Sci & Technol China, Sch Mat Sci & Engn, Shenyang 110016, Peoples R China 2.Chinese Acad Sci, Inst Met Res, Shi Changxu Innovat Ctr Adv Mat, Shenyang 110016, Peoples R China |
推荐引用方式 GB/T 7714 | Huang, Yuyu,Liu, Jide,Zhu, Chongwei,et al. An explainable machine learning model for superalloys creep life prediction coupling with physical metallurgy models and CALPHAD[J]. COMPUTATIONAL MATERIALS SCIENCE,2023,227:11. |
APA | Huang, Yuyu.,Liu, Jide.,Zhu, Chongwei.,Wang, Xinguang.,Zhou, Yizhou.,...&Li, Jinguo.(2023).An explainable machine learning model for superalloys creep life prediction coupling with physical metallurgy models and CALPHAD.COMPUTATIONAL MATERIALS SCIENCE,227,11. |
MLA | Huang, Yuyu,et al."An explainable machine learning model for superalloys creep life prediction coupling with physical metallurgy models and CALPHAD".COMPUTATIONAL MATERIALS SCIENCE 227(2023):11. |
入库方式: OAI收割
来源:金属研究所
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