Multiple objective optimization of electrical discharge machining on titanium alloy using grey relational analysis

This report deals with the machining workpiece Titanium Alloy using electrical discharge machining (EDM). The objective of this thesis is to optimize the surface roughness (SR), electrode wear ratio (EWR) and material removal rate (MRR) by using grey relational analysis (GRA) with orthogonal array (...

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Main Author:	Muhammad Aliff Nazreen, Norazmi
Format:	Undergraduates Project Papers
Language:	English
Published:	2012
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/4554/ http://umpir.ump.edu.my/id/eprint/4554/ http://umpir.ump.edu.my/id/eprint/4554/1/cd6855_67.pdf

id	ump-4554
recordtype	eprints
spelling	ump-45542015-03-03T09:19:44Z http://umpir.ump.edu.my/id/eprint/4554/ Multiple objective optimization of electrical discharge machining on titanium alloy using grey relational analysis Muhammad Aliff Nazreen, Norazmi TJ Mechanical engineering and machinery This report deals with the machining workpiece Titanium Alloy using electrical discharge machining (EDM). The objective of this thesis is to optimize the surface roughness (SR), electrode wear ratio (EWR) and material removal rate (MRR) by using grey relational analysis (GRA) with orthogonal array (OA) and to discuss on the significant result by using Analysis of Variance (ANOVA). The machining of Titanium Alloy workpiece was performed using the EDM machine AQ55L (ATC) and the analysis done using equation for GRA and STATISTICA software for ANOVA. In this study, the machining parameters, namely workpiece polarity, pulse off time, pulse on time, peak current and servo voltage are optimized. A grey relational grade obtained from the grey relational analysis is used to solve the EDM process with the multiple performance characteristics. Optimal machining parameters can then be determined by the grey relational grade as the performance index. Based from the result, the most significant parameter that affects the MRR, EWR and SR was the peak current while significant parameter was pulse off time. Experimental results have shown that machining performance in the EDM process can be improved effectively through this approach. 2012-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/4554/1/cd6855_67.pdf Muhammad Aliff Nazreen, Norazmi (2012) Multiple objective optimization of electrical discharge machining on titanium alloy using grey relational analysis. Faculty of Mechanical Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:73111&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Muhammad Aliff Nazreen, Norazmi Multiple objective optimization of electrical discharge machining on titanium alloy using grey relational analysis
description	This report deals with the machining workpiece Titanium Alloy using electrical discharge machining (EDM). The objective of this thesis is to optimize the surface roughness (SR), electrode wear ratio (EWR) and material removal rate (MRR) by using grey relational analysis (GRA) with orthogonal array (OA) and to discuss on the significant result by using Analysis of Variance (ANOVA). The machining of Titanium Alloy workpiece was performed using the EDM machine AQ55L (ATC) and the analysis done using equation for GRA and STATISTICA software for ANOVA. In this study, the machining parameters, namely workpiece polarity, pulse off time, pulse on time, peak current and servo voltage are optimized. A grey relational grade obtained from the grey relational analysis is used to solve the EDM process with the multiple performance characteristics. Optimal machining parameters can then be determined by the grey relational grade as the performance index. Based from the result, the most significant parameter that affects the MRR, EWR and SR was the peak current while significant parameter was pulse off time. Experimental results have shown that machining performance in the EDM process can be improved effectively through this approach.
format	Undergraduates Project Papers
author	Muhammad Aliff Nazreen, Norazmi
author_facet	Muhammad Aliff Nazreen, Norazmi
author_sort	Muhammad Aliff Nazreen, Norazmi
title	Multiple objective optimization of electrical discharge machining on titanium alloy using grey relational analysis
title_short	Multiple objective optimization of electrical discharge machining on titanium alloy using grey relational analysis
title_full	Multiple objective optimization of electrical discharge machining on titanium alloy using grey relational analysis
title_fullStr	Multiple objective optimization of electrical discharge machining on titanium alloy using grey relational analysis
title_full_unstemmed	Multiple objective optimization of electrical discharge machining on titanium alloy using grey relational analysis
title_sort	multiple objective optimization of electrical discharge machining on titanium alloy using grey relational analysis
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/4554/ http://umpir.ump.edu.my/id/eprint/4554/ http://umpir.ump.edu.my/id/eprint/4554/1/cd6855_67.pdf
first_indexed	2023-09-18T21:59:14Z
last_indexed	2023-09-18T21:59:14Z
_version_	1777414286388232192

Multiple objective optimization of electrical discharge machining on titanium alloy using grey relational analysis

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