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Constitutive Equations and ANN Approach to Predict the Flow Stress of Ti-6Al-4V Alloy Based on ABI Tests
Wang, Fuzeng; Zhao, Jun; Zhu, Ningbo
刊名JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
2016
卷号25期号:11页码:4875-4884
关键词artificial neural network ball indentation test constitutive model Ti-6Al-4V alloy
DOI10.1007/s11665-016-2337-4
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4702087
专题山东大学
作者单位1.Huaqiao Univ, Inst Mfg Engn, Xiamen, Peoples R China.
2.Shandong Univ, Sch Mech Engn, Xiamen, Peoples R China.
3.[Zhao
推荐引用方式
GB/T 7714
Wang, Fuzeng,Zhao, Jun,Zhu, Ningbo. Constitutive Equations and ANN Approach to Predict the Flow Stress of Ti-6Al-4V Alloy Based on ABI Tests[J]. JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE,2016,25(11):4875-4884.
APA Wang, Fuzeng,Zhao, Jun,&Zhu, Ningbo.(2016).Constitutive Equations and ANN Approach to Predict the Flow Stress of Ti-6Al-4V Alloy Based on ABI Tests.JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE,25(11),4875-4884.
MLA Wang, Fuzeng,et al."Constitutive Equations and ANN Approach to Predict the Flow Stress of Ti-6Al-4V Alloy Based on ABI Tests".JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE 25.11(2016):4875-4884.
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