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research-article

Optimization of EDM Process Parameters with Fuzzy Logic for Stainless Steel 304 (ASTM A 240)

[+] Author and Article Information
Alaa Ubaid

College of Engineering, University of Sharjah, UAE
aubaid@sharjah.ac.ae

Fikri T. Dweiri

College of Engineering, University of Sharjah, UAE
fdweiri@sharjah.ac.ae

Shukry Aghdeab

Dep. of Production Engineering & Metallurgy, University of Technology, Baghdad, Iraq
shukry_hammed@yahoo.com

Laith Abdullah Al-Juboori

Department of Mechanical Engineering, Higher colleges of Technology UAE
laljuboori@hct.ac.ae

1Corresponding author.

ASME doi:10.1115/1.4038139 History: Received March 23, 2017; Revised September 09, 2017

Abstract

EDM process need to be optimized when a new material invented or even if some process variables changed, this process has many variables and it is always difficult to get the optimum set of variables by chance. Therefore an optimization process need to be conducted considering different combination of machining parameters as well as other variables even if the process were optimized for a certain set of variables. Optimization of the EDM process for machining SS304 (ASTM A 240) studied in this paper. Signal to noise ratio calculated for each one of the performance measures, and Multi Response Performance Index generated using Fuzzy logic inference system. Optimal machining parameters for machining SS304 materials identified, ANOVA method used as well to see which machining parameter has significant effect on the performance measures. The result of ANOVA indicates that Pulse off Time, and Current are the most significant machining parameters in affecting the performance measures, with the Pulse off Time being the most significant parameter.

Copyright (c) 2017 by ASME
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