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Prediction and Analysis of Tensile Properties of Austenitic Stainless Steel Using Artificial Neural Network

文献类型：期刊论文

作者Wang, Yuxuan1,2; Wu, Xuebang1; Li, Xiangyan1; Xie, Zhuoming1; Liu, Rui1; Liu, Wei1; Zhang, Yange1; Xu, Yichun1; Liu, Changsong1
刊名METALS
出版日期2020-02-01
卷号10
关键词austenitic stainless steel tensile properties artificial neural network MIV analysis
DOI10.3390/met10020234
通讯作者Wu, Xuebang(xbwu@issp.ac.cn) ; Liu, Changsong(csliu@issp.ac.cn)
英文摘要Predicting mechanical properties of metals from big data is of great importance to materials engineering. The present work aims at applying artificial neural network (ANN) models to predict the tensile properties including yield strength (YS) and ultimate tensile strength (UTS) on austenitic stainless steel as a function of chemical composition, heat treatment and test temperature. The developed models have good prediction performance for YS and UTS, with R values over 0.93. The models were also tested to verify the reliability and accuracy in the context of metallurgical principles and other data published in the literature. In addition, the mean impact value analysis was conducted to quantitatively examine the relative significance of each input variable for the improvement of prediction performance. The trained models can be used as a guideline for the preparation and development of new austenitic stainless steels with the required tensile properties.
WOS关键词STRENGTH ; BEHAVIOR ; DESIGN
资助项目National Key Research and Development Program of China[2017YFE0302400] ; National Key Research and Development Program of China[2017YFA0402800] ; National Natural Science Foundation of China[11735015] ; National Natural Science Foundation of China[51871207] ; National Natural Science Foundation of China[51801203] ; National Natural Science Foundation of China[51671184] ; National Natural Science Foundation of China[51671185] ; National Natural Science Foundation of China[U1832206] ; Anhui Provincial Natural Science Foundation[1908085J17]
WOS研究方向Materials Science ; Metallurgy & Metallurgical Engineering
语种英语
WOS记录号WOS:000522450800079
出版者MDPI
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Anhui Provincial Natural Science Foundation
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/103609]  
专题中国科学院合肥物质科学研究院
通讯作者Wu, Xuebang; Liu, Changsong
作者单位1.Chinese Acad Sci, Inst Solid State Phys, Key Lab Mat Phys, POB 1129, Hefei 230031, Peoples R China
2.Univ Sci & Technol China, Dept Mat Sci & Engn, Hefei 230036, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Yuxuan,Wu, Xuebang,Li, Xiangyan,et al. Prediction and Analysis of Tensile Properties of Austenitic Stainless Steel Using Artificial Neural Network[J]. METALS,2020,10.
APA Wang, Yuxuan.,Wu, Xuebang.,Li, Xiangyan.,Xie, Zhuoming.,Liu, Rui.,...&Liu, Changsong.(2020).Prediction and Analysis of Tensile Properties of Austenitic Stainless Steel Using Artificial Neural Network.METALS,10.
MLA Wang, Yuxuan,et al."Prediction and Analysis of Tensile Properties of Austenitic Stainless Steel Using Artificial Neural Network".METALS 10(2020).

入库方式： OAI收割

来源：合肥物质科学研究院

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