Multi-objective optimization in wire-electrical discharge machining (WEDM) of titanium alloy

This paper presents an investigation on influences and multiple optimizations of wire-electrical discharge (WEDM) machining performances such as cutting rate, material removal, surface roughness and kerf width processed on titanium alloy material. The experimental studies were conducted under varyin...

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Published in:Jurnal Teknologi
Main Author: Saedon J.B.; Jaafar N.; Nor N.H.M.; Yahaya M.A.; Husain H.
Format: Article
Language:English
Published: Penerbit UTM Press 2015
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84943327579&doi=10.11113%2fjt.v76.5670&partnerID=40&md5=4714ab30b3e2e2c93b454f393da5dd05
id 2-s2.0-84943327579
spelling 2-s2.0-84943327579
Saedon J.B.; Jaafar N.; Nor N.H.M.; Yahaya M.A.; Husain H.
Multi-objective optimization in wire-electrical discharge machining (WEDM) of titanium alloy
2015
Jurnal Teknologi
76
6
10.11113/jt.v76.5670
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84943327579&doi=10.11113%2fjt.v76.5670&partnerID=40&md5=4714ab30b3e2e2c93b454f393da5dd05
This paper presents an investigation on influences and multiple optimizations of wire-electrical discharge (WEDM) machining performances such as cutting rate, material removal, surface roughness and kerf width processed on titanium alloy material. The experimental studies were conducted under varying machining parameters namely pulse-off time, peak current, wire tension and wire feed. The experimental works were designed base on Taguchi design of experiment. The optimum multi-objective performance characteristics was determined using analysis of variance (ANOVA) coupled with grey relational analysis (GRA). ANOVA was used to study the significance of process parameters on grey relational grade which showed the most significant factor. The grey relational grade obtained from GRA was used to optimize the wire-electrical discharge machining process. To validate the findings, confirmation experiment had been carried out using the optimal parameters and the predicted results were found in good agreements with experimental finding. Improved machining performance in the wire electrical machining process has been achieved by using this approach. © 2015, Penerbit UTM Press. All rights reserved.
Penerbit UTM Press
1279696
English
Article

author Saedon J.B.; Jaafar N.; Nor N.H.M.; Yahaya M.A.; Husain H.
spellingShingle Saedon J.B.; Jaafar N.; Nor N.H.M.; Yahaya M.A.; Husain H.
Multi-objective optimization in wire-electrical discharge machining (WEDM) of titanium alloy
author_facet Saedon J.B.; Jaafar N.; Nor N.H.M.; Yahaya M.A.; Husain H.
author_sort Saedon J.B.; Jaafar N.; Nor N.H.M.; Yahaya M.A.; Husain H.
title Multi-objective optimization in wire-electrical discharge machining (WEDM) of titanium alloy
title_short Multi-objective optimization in wire-electrical discharge machining (WEDM) of titanium alloy
title_full Multi-objective optimization in wire-electrical discharge machining (WEDM) of titanium alloy
title_fullStr Multi-objective optimization in wire-electrical discharge machining (WEDM) of titanium alloy
title_full_unstemmed Multi-objective optimization in wire-electrical discharge machining (WEDM) of titanium alloy
title_sort Multi-objective optimization in wire-electrical discharge machining (WEDM) of titanium alloy
publishDate 2015
container_title Jurnal Teknologi
container_volume 76
container_issue 6
doi_str_mv 10.11113/jt.v76.5670
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84943327579&doi=10.11113%2fjt.v76.5670&partnerID=40&md5=4714ab30b3e2e2c93b454f393da5dd05
description This paper presents an investigation on influences and multiple optimizations of wire-electrical discharge (WEDM) machining performances such as cutting rate, material removal, surface roughness and kerf width processed on titanium alloy material. The experimental studies were conducted under varying machining parameters namely pulse-off time, peak current, wire tension and wire feed. The experimental works were designed base on Taguchi design of experiment. The optimum multi-objective performance characteristics was determined using analysis of variance (ANOVA) coupled with grey relational analysis (GRA). ANOVA was used to study the significance of process parameters on grey relational grade which showed the most significant factor. The grey relational grade obtained from GRA was used to optimize the wire-electrical discharge machining process. To validate the findings, confirmation experiment had been carried out using the optimal parameters and the predicted results were found in good agreements with experimental finding. Improved machining performance in the wire electrical machining process has been achieved by using this approach. © 2015, Penerbit UTM Press. All rights reserved.
publisher Penerbit UTM Press
issn 1279696
language English
format Article
accesstype
record_format scopus
collection Scopus
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