Assessment of the performance of the electrical discharge face grinding process with powder mixed dielectric

The purpose of this current research is to perform the powder mix electrical discharge diamond face grinding (PM-EDDFG) process for the machining of Monel 400. In this study, using the central composite design (CCD) approach of experimental design, the effects of powder concentration (P_c), diamond grit number (N_d), peak current (I_p), and grinding wheel speed (GWS), and input process parameters on material removal rate (MRR) and average surface roughness (R_a) were experimentally examined. N_d and P_c significantly affected the response variables, as shown by the analysis of variance (ANOVA). Additionally, a multi-objective genetic algorithm (GA) optimization approach was also employed to determine the optimal PM-EDDFG process parameters. Field emission scanning Electron Microscopy (FESEM) was utilized to analyze the surface morphology of the machined surface after the confirmatory experiments. The FESEM images indicated that adding multi-walled carbon nanotubes (MWCNT), powder led to a better surface finish by preventing diamond wheel clogging.