LAUSR

In this research, a distinct combination of response surface methodology (RSM), gray relational analysis (GRA) with Shannon's entropy measurement-based technique for order preference by similarity to ideal solution (TOPSIS) method has been suggested to assess, improve and estimate the influence of the process parameters on responses characteristics. The electrical discharge machining (EDM), parameters pulse current (Ip), pulse duration (Ton), duty cycle (Tau) and discharge voltage (V) were input, and, material removal rate (MRR), tool wear rate (TWR) and radial overcut or gap (G) were considered as output parameters. The R2 value for the relative closeness was found to be 96.83%. The ANOVA reveals that Ip is the most influencing parameter with 46.49% contribution followed by Ton, Tau and V with 13.92%, 7.35% and 2.8%, respectively. The interaction of parameters contributes 15.26%. This study can be used as a scientific source for parameter optimisation in concerned manufacturing processes.