Optimization of EDM process using grey-fuzzy approach

Dragan Rodić and Marin Gostimirović (University of Novi Sad, Serbia); Milenko Sekulić (University of Novi Sad, Faculty of Technical Sciences, Serbia); Branislav Batinic (Faculty of Technical Sciences, Serbia); Nikola Laković (University of Novi Sad, Serbia)

In this study, the optimization of multiple performance characteristics based on the grey fuzzy analysis method is researched. Input process parameters including discharge current and pulse duration of electrical discharge machining (EDM) are optimized. Response characteristics such as material removal rate and surface roughness are investigated using Taguchi's L9 orthogonal array. The optimal combination of the input parameters corresponding to the response variables were obtained by employing the grey fuzzy grade and signal-to-noise ratio strategy as a performance index. It was found that discharge current of 5 A and pulse duration of 5 µs is optimal combination of EDM parameters that has produced a high value of grey fuzzy reasoning grade of 0.56 which is close to the reference value. Based on the results of validation experiments it is concluded that grey fuzzy approach can efficaciously be used to find the optimal combination of influential input parameters of EDM.

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