A Study on Responses Parameter of EDM Process in EN-353 Steel Using Grey Relational Analysis

Abstract

Electrical discharge machining (EDM) process is the most practically non-conventional machining processes for machining newly developed high strength alloys with high degree of dimensional accuracy and economical cost of production. The last decade has seen an increasing interest in the novel applications of this process, which is particular emphasis on the potential for surface modification. To gain these goals, the consideration is by optimizing the process parameters such as the discharge current (A), pulse-on-time (µs), pulse-off-time (µs) and di-electric fluid (g/l). Now a day, optimization techniques are the new trend for optimization of the machining process parameters. In this paper a multi response optimization method using Taguchi robust design approach is proposed for electrical discharge machining (EDM) operations. Experimentation was planned as per Taguchi’s L9 (3³). The responses are namely material removal rate, tool wear rate and last one surface roughness have been optimized with multi response characteristics using grey relational analysis. Analysis of variance (ANOVA) is applied to identify the level of importance of the machining parameters on the multiple performance characteristics considered. Finally, confirmation result was carried out to identify the effectiveness of this proposed method.