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Optimization of electrical discharge machine on mild steel AISI 1020 by using grey relational analysis

Abdul Rahim, Asas (2010) Optimization of electrical discharge machine on mild steel AISI 1020 by using grey relational analysis. Faculty of Mechanical Engineering, Universiti Malaysia Pahang.

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Optimization of electrical discharge machine on mild steel AISI 1020 by using grey relational analysis - Table of content.pdf - Accepted Version

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Optimization of electrical discharge machine on mild steel AISI 1020 by using grey relational analysis - Abstract.pdf - Accepted Version

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Abstract

This report deals with machining workpiece mild steel AISI 1020 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 mild steel AISI 1020 steel workpiece was perform 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, servo voltage and dielectric fluid 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 effect the MRR, EWR and SR was the peak current while significant parameter was workpiece polarity. Experimental results have shown that machining performance in the EDM process can be improved effectively through this approach

Item Type: Undergraduates Project Papers
Additional Information: Project paper (Bachelor of Mechanical Engineering with Manufacturing Engineering) -- Universiti Malaysia Pahang - 2010, SV: En. Mohamed Reza Zalani Bin Mohamed Suffian
Uncontrolled Keywords: Electric metal-cutting; Surface roughness
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Syed Mohd Faiz
Date Deposited: 29 Jul 2011 07:58
Last Modified: 06 Apr 2017 04:04
URI: http://umpir.ump.edu.my/id/eprint/1391
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