Parametric Optimization of Electric Discharge Machining of Metal Matrix Composites Using Analytic Hierarchy Process

The present study reports on the method used to obtain the reliable outcomes for different responses in electric discharge machining (EDM) of metal matrix composites (MMCs). The analytic hierarchy process (AHP), a multiple criteria decision-making technique, was used to achieve the target outcomes....

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Autores principales:	Sarabjeet Singh Sidhu, Timur Rizovich Ablyaz, Preetkanwal Singh Bains, Karim Ravilevich Muratov, Evgeny Sergeevich Shlykov, Vladislav Vitalyevich Shiryaev
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	analytical hierarchy process residual stress metal erosion rate surface roughness Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/e30d7e1e80a24dc98cc61d38a7a2e4fa
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spelling	oai:doaj.org-article:e30d7e1e80a24dc98cc61d38a7a2e4fa2021-11-25T18:22:51ZParametric Optimization of Electric Discharge Machining of Metal Matrix Composites Using Analytic Hierarchy Process10.3390/mi121112892072-666Xhttps://doaj.org/article/e30d7e1e80a24dc98cc61d38a7a2e4fa2021-10-01T00:00:00Zhttps://www.mdpi.com/2072-666X/12/11/1289https://doaj.org/toc/2072-666XThe present study reports on the method used to obtain the reliable outcomes for different responses in electric discharge machining (EDM) of metal matrix composites (MMCs). The analytic hierarchy process (AHP), a multiple criteria decision-making technique, was used to achieve the target outcomes. The process parameters were varied to evaluate their effect on the material erosion rate (<i>MER</i>), surface roughness (SR), and residual stresses (σ) following Taguchi’s experimental design. The process parameters, such as the electrode material (Cu, Gr, Cu-Gr), current, pulse duration, and dielectric medium, were selected for the analysis. The residual stresses induced due to the spark pulse temperature gradient between the electrode were of primary concern during machining. The optimum process parameters that affected the responses were selected using AHP to figure out the most suitable conditions for the machining of MMCs.Sarabjeet Singh SidhuTimur Rizovich AblyazPreetkanwal Singh BainsKarim Ravilevich MuratovEvgeny Sergeevich ShlykovVladislav Vitalyevich ShiryaevMDPI AGarticleanalytical hierarchy processresidual stressmetal erosion ratesurface roughnessMechanical engineering and machineryTJ1-1570ENMicromachines, Vol 12, Iss 1289, p 1289 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	analytical hierarchy process residual stress metal erosion rate surface roughness Mechanical engineering and machinery TJ1-1570
spellingShingle	analytical hierarchy process residual stress metal erosion rate surface roughness Mechanical engineering and machinery TJ1-1570 Sarabjeet Singh Sidhu Timur Rizovich Ablyaz Preetkanwal Singh Bains Karim Ravilevich Muratov Evgeny Sergeevich Shlykov Vladislav Vitalyevich Shiryaev Parametric Optimization of Electric Discharge Machining of Metal Matrix Composites Using Analytic Hierarchy Process
description	The present study reports on the method used to obtain the reliable outcomes for different responses in electric discharge machining (EDM) of metal matrix composites (MMCs). The analytic hierarchy process (AHP), a multiple criteria decision-making technique, was used to achieve the target outcomes. The process parameters were varied to evaluate their effect on the material erosion rate (<i>MER</i>), surface roughness (SR), and residual stresses (σ) following Taguchi’s experimental design. The process parameters, such as the electrode material (Cu, Gr, Cu-Gr), current, pulse duration, and dielectric medium, were selected for the analysis. The residual stresses induced due to the spark pulse temperature gradient between the electrode were of primary concern during machining. The optimum process parameters that affected the responses were selected using AHP to figure out the most suitable conditions for the machining of MMCs.
format	article
author	Sarabjeet Singh Sidhu Timur Rizovich Ablyaz Preetkanwal Singh Bains Karim Ravilevich Muratov Evgeny Sergeevich Shlykov Vladislav Vitalyevich Shiryaev
author_facet	Sarabjeet Singh Sidhu Timur Rizovich Ablyaz Preetkanwal Singh Bains Karim Ravilevich Muratov Evgeny Sergeevich Shlykov Vladislav Vitalyevich Shiryaev
author_sort	Sarabjeet Singh Sidhu
title	Parametric Optimization of Electric Discharge Machining of Metal Matrix Composites Using Analytic Hierarchy Process
title_short	Parametric Optimization of Electric Discharge Machining of Metal Matrix Composites Using Analytic Hierarchy Process
title_full	Parametric Optimization of Electric Discharge Machining of Metal Matrix Composites Using Analytic Hierarchy Process
title_fullStr	Parametric Optimization of Electric Discharge Machining of Metal Matrix Composites Using Analytic Hierarchy Process
title_full_unstemmed	Parametric Optimization of Electric Discharge Machining of Metal Matrix Composites Using Analytic Hierarchy Process
title_sort	parametric optimization of electric discharge machining of metal matrix composites using analytic hierarchy process
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e30d7e1e80a24dc98cc61d38a7a2e4fa
work_keys_str_mv	AT sarabjeetsinghsidhu parametricoptimizationofelectricdischargemachiningofmetalmatrixcompositesusinganalytichierarchyprocess AT timurrizovichablyaz parametricoptimizationofelectricdischargemachiningofmetalmatrixcompositesusinganalytichierarchyprocess AT preetkanwalsinghbains parametricoptimizationofelectricdischargemachiningofmetalmatrixcompositesusinganalytichierarchyprocess AT karimravilevichmuratov parametricoptimizationofelectricdischargemachiningofmetalmatrixcompositesusinganalytichierarchyprocess AT evgenysergeevichshlykov parametricoptimizationofelectricdischargemachiningofmetalmatrixcompositesusinganalytichierarchyprocess AT vladislavvitalyevichshiryaev parametricoptimizationofelectricdischargemachiningofmetalmatrixcompositesusinganalytichierarchyprocess
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Parametric Optimization of Electric Discharge Machining of Metal Matrix Composites Using Analytic Hierarchy Process

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