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An Experimental Artificial Neural Network Model:Investigating and Predicting Effects of Quenching Process on Residual Stresses of AISI 1035 Steel Alloy

Salman Khayoon Aldriasawi Nihayat Hussein Ameen Kareem Idan Fadheel Ashham Muhammed Anead Hakeem Emad Mhabes Barhm Mohamad

Journal of Harbin Institute of Technology(New Series)2024，Vol.31Issue(5)：P.78-92,15.

Journal of Harbin Institute of Technology(New Series)2024，Vol.31Issue(5)：P.78-92,15.DOI:10.11916/j.issn.1005-9113.2023090

An Experimental Artificial Neural Network Model:Investigating and Predicting Effects of Quenching Process on Residual Stresses of AISI 1035 Steel Alloy

Salman Khayoon Aldriasawi ¹Nihayat Hussein Ameen ²Kareem Idan Fadheel ¹Ashham Muhammed Anead ¹Hakeem Emad Mhabes ³Barhm Mohamad⁴

作者信息

1. Mechanical Engineering Department,Kut Technical Institute,Middle Technical University,Baghdad 10074,Iraq
2. College of Agriculture,University of Kirkuk,Kirkuk 36001,Iraq
3. Computer Science Department,Kut Technical Institute,Middle Technical University,Baghdad 10074,Iraq
4. Department of Petroleum Technology,Koya Technical Institute,Erbil Polytechnic University,Erbil 44001,Iraq
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摘要

关键词

Quenching/nanofluids/residual stresses/steel alloy/artificial neural network/MANOVA

分类

矿业与冶金

引用本文复制引用

Salman Khayoon Aldriasawi,Nihayat Hussein Ameen,Kareem Idan Fadheel,Ashham Muhammed Anead,Hakeem Emad Mhabes,Barhm Mohamad..An Experimental Artificial Neural Network Model:Investigating and Predicting Effects of Quenching Process on Residual Stresses of AISI 1035 Steel Alloy[J].Journal of Harbin Institute of Technology(New Series),2024,31(5):P.78-92,15.

基金项目

Kut Technical Institute for their funding supports。（）

Journal of Harbin Institute of Technology(New Series)

ISSN：1005-9113

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