Parametric Optimization of Edm Using Multi-response Signal-to- Noise Ratio Technique

The performance of electrical discharge machining (EDM) is dependent on the selection of factor/levels combinations of input parameters. The optimization of EDM process is a multi-objective optimization problem on account of the contradictory behaviour of performance measures like metal removal rate and surface roughness (MRR, SR). Many optimization technique are used for the parametric optimization of EDM that require a good amount of computational facility. In this paper, multi-response signal-to noise ratio technique has been employed to find the optimal combination of input parameters owing to its simplicity and less mathematical computation. Experiments have been designed by Taguchi’s L36 orthogonal array. In this work, two cases are considered and the parametric level/combinations have been obtained for both the cases. Analysis of variance (ANOVA) has also been employed to find the dominant parameters and finally experimentation verification has also been performed for the validation of results obtained.