Statistical optimization of EDM parameters on machining of aluminium Hybrid Metal Matrix composite by applying Taguchi based Grey analysis

Abstract

Hybrid metal matrix composite is a recent kind of material which are not only focused on the improvement of mechanical properties, but also on machinability for difficult-to-machine shapes using EDM. Experiments were conducted by choosing the typical process parameters such as pulse current, gap voltage, pulse on time and pulse off time. The Taguchi based grey relational analysis was adopted to obtain grey relational grade for EDM process with multiple characteristics namely material removal rate (MRR), electrode wear ratio (EWR) and surface roughness (SR). The significance of process parameters was obtained by analysis of variance based on grey relational grade, which showed pulse current and pulse on time to be the most significant parameters.