PARAMETRIC OPTIMIZATION OF CNC WIRE CUT EDM USING GREY RELATIONAL ANALYSIS

In this present study a multi response optimization method using Taguchi’s robust design approach is proposed for wire electrical discharge machining (WEDM) operations. Experimentation was planned as per Taguchi’s L9 orthogonal array. Each experiment has been performed under different cutting conditions of gap current (I), gap voltage (V), wire feed rate (W) and duty factor (D). Two responses namely material removal rate and surface roughness have been considered for each experiment. The machining parameters are optimized with the multi response characteristics of the material removal rate and surface roughness, using the grey relational analysis. Multi response S/N (MRSN) ratio was applied to measure the performance characteristics deviating from the actual value. Analysis of variance (ANOVA) is employed to identify the level of importance of the machining parameters on the multiple performance characteristics considered. Finally experimental confirmation was carried out to identify the effectiveness of this proposed method. A good improvement was obtained.