Optimization of Wear Parameters in AISI 4340 Steel

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...

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Autor principal:	Abbas Khammas Hussein
Formato:	article
Lenguaje:	EN
Publicado:	Al-Khwarizmi College of Engineering – University of Baghdad 2014
Materias:	Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/bd18937c52ff49278e769917fccb33be
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spelling	oai:doaj.org-article:bd18937c52ff49278e769917fccb33be2021-12-02T05:25:07ZOptimization of Wear Parameters in AISI 4340 Steel 1818-1171https://doaj.org/article/bd18937c52ff49278e769917fccb33be2014-12-01T00:00:00Zhttp://www.iasj.net/iasj?func=fulltext&aId=96562https://doaj.org/toc/1818-1171This 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 BaghdadarticleChemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 10, Iss 4, Pp 45-54 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 Abbas Khammas Hussein Optimization of Wear Parameters in AISI 4340 Steel
description	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	2014
url	https://doaj.org/article/bd18937c52ff49278e769917fccb33be
work_keys_str_mv	AT abbaskhammashussein optimizationofwearparametersinaisi4340steel
_version_	1718400437734866944

Optimization of Wear Parameters in AISI 4340 Steel

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