Multi-objective Optimization of Turning Titanium Alloy by Grey Rational Analysis

In order to optimize the turning operation on titanium alloy, one needs to understand how different parameter combinations serve under varied conditions and needs. It is critical to compare single and multiple objectives in optimization. This study focused on single and multi-objective optimization...

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Published in:Journal of Mechanical Engineering
Main Author: Nor N.H.M.; Ahmad S.; Othman M.F.; Meon M.S.; Syawal S.M.; Rahaman W.E.W.A.; Saedon J.B.; Armansyah
Format: Article
Language:English
Published: UiTM Press 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215696254&doi=10.24191%2fjmeche.v13i1.2841&partnerID=40&md5=53f0009f8838a8673a83ae12a9080bc1
id 2-s2.0-85215696254
spelling 2-s2.0-85215696254
Nor N.H.M.; Ahmad S.; Othman M.F.; Meon M.S.; Syawal S.M.; Rahaman W.E.W.A.; Saedon J.B.; Armansyah
Multi-objective Optimization of Turning Titanium Alloy by Grey Rational Analysis
2024
Journal of Mechanical Engineering
13

10.24191/jmeche.v13i1.2841
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215696254&doi=10.24191%2fjmeche.v13i1.2841&partnerID=40&md5=53f0009f8838a8673a83ae12a9080bc1
In order to optimize the turning operation on titanium alloy, one needs to understand how different parameter combinations serve under varied conditions and needs. It is critical to compare single and multiple objectives in optimization. This study focused on single and multi-objective optimization evaluations for the primary performance responses of surface roughness (SR) and tool flank wear (TW), aiming for optimal turning process parameters. To examine the effects of feed rate (f), cutting speed (R), depth of cut (d), cutting angle (X), and mist inlet pressure (P) on the responses of both SR and TW, Taguchi L27 orthogonal arrays were used in this study. Moreover, analysis of variances (ANOVA) and grey relational analysis (GRA) have been incorporated in this study, where the former was used to study the influence of each parameter on SR and TW while the latter was used to determine the best combinations for the multi-objective optimization process. The results revealed that for single-objective optimization of SR, the optimal values for f, R, d, X, and P were found to be 0.3 mm/rev, 250 rpm, 1.5 mm, 100 degrees, and 1 bar mist inlet pressure, respectively. For single-objective optimization of TW, the optimal values for f, R, d, X, and P were found to be 0.20 mm/rev, 250 rpm, 0.5 mm, 50 degrees, and 3 bar mist inlet pressure, respectively. Meanwhile, for multi-objective optimization, the optimal values for f, R, d, X, and P were found to be 0.30 mm/rev, 500 rpm, 2.0 mm, 75 degrees, and 1 bar mist inlet pressure, respectively. These optimal combinations of turning parameters resulted in the lowest SR and TW simultaneously. © (2024), (UiTM Press). All rights reserved.
UiTM Press
18235514
English
Article
All Open Access; Bronze Open Access
author Nor N.H.M.; Ahmad S.; Othman M.F.; Meon M.S.; Syawal S.M.; Rahaman W.E.W.A.; Saedon J.B.; Armansyah
spellingShingle Nor N.H.M.; Ahmad S.; Othman M.F.; Meon M.S.; Syawal S.M.; Rahaman W.E.W.A.; Saedon J.B.; Armansyah
Multi-objective Optimization of Turning Titanium Alloy by Grey Rational Analysis
author_facet Nor N.H.M.; Ahmad S.; Othman M.F.; Meon M.S.; Syawal S.M.; Rahaman W.E.W.A.; Saedon J.B.; Armansyah
author_sort Nor N.H.M.; Ahmad S.; Othman M.F.; Meon M.S.; Syawal S.M.; Rahaman W.E.W.A.; Saedon J.B.; Armansyah
title Multi-objective Optimization of Turning Titanium Alloy by Grey Rational Analysis
title_short Multi-objective Optimization of Turning Titanium Alloy by Grey Rational Analysis
title_full Multi-objective Optimization of Turning Titanium Alloy by Grey Rational Analysis
title_fullStr Multi-objective Optimization of Turning Titanium Alloy by Grey Rational Analysis
title_full_unstemmed Multi-objective Optimization of Turning Titanium Alloy by Grey Rational Analysis
title_sort Multi-objective Optimization of Turning Titanium Alloy by Grey Rational Analysis
publishDate 2024
container_title Journal of Mechanical Engineering
container_volume 13
container_issue
doi_str_mv 10.24191/jmeche.v13i1.2841
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215696254&doi=10.24191%2fjmeche.v13i1.2841&partnerID=40&md5=53f0009f8838a8673a83ae12a9080bc1
description In order to optimize the turning operation on titanium alloy, one needs to understand how different parameter combinations serve under varied conditions and needs. It is critical to compare single and multiple objectives in optimization. This study focused on single and multi-objective optimization evaluations for the primary performance responses of surface roughness (SR) and tool flank wear (TW), aiming for optimal turning process parameters. To examine the effects of feed rate (f), cutting speed (R), depth of cut (d), cutting angle (X), and mist inlet pressure (P) on the responses of both SR and TW, Taguchi L27 orthogonal arrays were used in this study. Moreover, analysis of variances (ANOVA) and grey relational analysis (GRA) have been incorporated in this study, where the former was used to study the influence of each parameter on SR and TW while the latter was used to determine the best combinations for the multi-objective optimization process. The results revealed that for single-objective optimization of SR, the optimal values for f, R, d, X, and P were found to be 0.3 mm/rev, 250 rpm, 1.5 mm, 100 degrees, and 1 bar mist inlet pressure, respectively. For single-objective optimization of TW, the optimal values for f, R, d, X, and P were found to be 0.20 mm/rev, 250 rpm, 0.5 mm, 50 degrees, and 3 bar mist inlet pressure, respectively. Meanwhile, for multi-objective optimization, the optimal values for f, R, d, X, and P were found to be 0.30 mm/rev, 500 rpm, 2.0 mm, 75 degrees, and 1 bar mist inlet pressure, respectively. These optimal combinations of turning parameters resulted in the lowest SR and TW simultaneously. © (2024), (UiTM Press). All rights reserved.
publisher UiTM Press
issn 18235514
language English
format Article
accesstype All Open Access; Bronze Open Access
record_format scopus
collection Scopus
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