Machinability of copper-based metallic glass in micro EDM and its optimisation by grey fuzzy logic

Abstract

The present study investigates the machinability of metallic glass by drilling micro holes using the micro-electrical discharge machining process. The variation of microhole features such as material removal rate (MRR), overcut (OC), circularity error (CE), recast layer thickness (RLT) and edge deviation (ED) with respect to variable process parameters such as voltage, capacitance and tool rotation speed has been investigated by Taguchi method and analysis of variance. Multi-objective optimisation approaches such as grey relational analysis (GRA) and grey-based fuzzy logic (GFL) are implemented to optimise the process parameters to attain microholes having quality features. The studies exhibit that microholes of higher MRR and lower OC, CE, RLT, and ED can be machined by controlling the process parameters. GFL exhibits a lower error of 7.16% as compared to GRA's 11.40% in between the experimental and predicted results.