中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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
DOI10.1016/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

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。