earticle

영어

Electrical discharge machining (EDM) is one of the most extensively used nonconventional material removal process. The Taguchi method has been utilized to determine the optimal EDM conditions in several industrial fields. The method was design to optimize only a single performance characteristic. To remove this limitation, the Grey relational theory has been used to resolve the complicated interrelationship among the multiple performance characteristics. In the present study, we attempt to find the optimal machining conditions under which the Material removal rate(MRR) to be maximize and Tool wear rate(TWR) to be minimize. This paper summarizes the Grey relation theory and Taguchi optimization technique in order to optimize the cutting parameters in EDM for SS304. The Taguchi method was used to determine the relations between the machining and Response parameters. GRA was used to investigate the optimal machining parameters, among which the pulse on-time, pulse off-time are found to be the most desirable. Finally optimal machining conditions are pulse on time (50 μs), pulse off time (35 μs), discharge current (12A), and voltage (50V). Experimentation was planned as per Taguchi’s L9 (33) orthogonal array. 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.