Optimization of Wear Parameters in AISI 4340 Steel

Abstract  This study investigated the optimization of wear behavior of AISI 4340 steel based on the Taguchi method under various testing conditions. In this paper, a neural network and the Taguchi design method have been implemented for minimizing the wear rate in 4340 steel. A back-propagation...

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Autor principal: Abbas Khammas Hussein
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Lenguaje:EN
Publicado: Al-Khwarizmi College of Engineering – University of Baghdad 2017
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Acceso en línea:https://doaj.org/article/2e3d1ddeb6ef4c1d90c19ed7a2730bc3
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spelling oai:doaj.org-article:2e3d1ddeb6ef4c1d90c19ed7a2730bc32021-12-02T10:50:05ZOptimization of Wear Parameters in AISI 4340 Steel1818-11712312-0789https://doaj.org/article/2e3d1ddeb6ef4c1d90c19ed7a2730bc32017-12-01T00:00:00Zhttp://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/205https://doaj.org/toc/1818-1171https://doaj.org/toc/2312-0789 Abstract  This study investigated the optimization of wear behavior of AISI 4340 steel based on the Taguchi method under various testing conditions. In this paper, a neural network and the Taguchi design method have been implemented for minimizing the wear rate in 4340 steel. A back-propagation neural network (BPNN) was developed to predict the wear rate. In the development of a predictive model, wear parameters like sliding speed, applying load and sliding distance were considered as the input model variables of the AISI 4340 steel. An analysis of variance (ANOVA) was used to determine the significant parameter affecting the wear rate. Finally, the Taguchi approach was applied to determine the optimum levels of wear parameters. The results show that using the optimal parameter setting (load3, sliding speed1, and sliding distance2) a lower wear rate is achieved. The error between the predicted and experimental values is only 3.19%, so good agreement between the actual and predicted results is observed. Abbas Khammas HusseinAl-Khwarizmi College of Engineering – University of BaghdadarticleKeywords: AISI 4340, wear, pin on disc, Taguchi method, neural network.Chemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 10, Iss 4 (2017)
institution DOAJ
collection DOAJ
language EN
topic Keywords: AISI 4340, wear, pin on disc, Taguchi method, neural network.
Chemical engineering
TP155-156
Engineering (General). Civil engineering (General)
TA1-2040
spellingShingle Keywords: AISI 4340, wear, pin on disc, Taguchi method, neural network.
Chemical engineering
TP155-156
Engineering (General). Civil engineering (General)
TA1-2040
Abbas Khammas Hussein
Optimization of Wear Parameters in AISI 4340 Steel
description Abstract  This study investigated the optimization of wear behavior of AISI 4340 steel based on the Taguchi method under various testing conditions. In this paper, a neural network and the Taguchi design method have been implemented for minimizing the wear rate in 4340 steel. A back-propagation neural network (BPNN) was developed to predict the wear rate. In the development of a predictive model, wear parameters like sliding speed, applying load and sliding distance were considered as the input model variables of the AISI 4340 steel. An analysis of variance (ANOVA) was used to determine the significant parameter affecting the wear rate. Finally, the Taguchi approach was applied to determine the optimum levels of wear parameters. The results show that using the optimal parameter setting (load3, sliding speed1, and sliding distance2) a lower wear rate is achieved. The error between the predicted and experimental values is only 3.19%, so good agreement between the actual and predicted results is observed.
format article
author Abbas Khammas Hussein
author_facet Abbas Khammas Hussein
author_sort Abbas Khammas Hussein
title Optimization of Wear Parameters in AISI 4340 Steel
title_short Optimization of Wear Parameters in AISI 4340 Steel
title_full Optimization of Wear Parameters in AISI 4340 Steel
title_fullStr Optimization of Wear Parameters in AISI 4340 Steel
title_full_unstemmed Optimization of Wear Parameters in AISI 4340 Steel
title_sort optimization of wear parameters in aisi 4340 steel
publisher Al-Khwarizmi College of Engineering – University of Baghdad
publishDate 2017
url https://doaj.org/article/2e3d1ddeb6ef4c1d90c19ed7a2730bc3
work_keys_str_mv AT abbaskhammashussein optimizationofwearparametersinaisi4340steel
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