Optimisation of machining performance in PMWEDM of titanium alloy using the hybrid technique (GRA-PCA)

Abstract

ABSTRACT Ti6Al4V plays a prominent role in manufacturing component production due to tremendous mechanical and engineering properties. The present investigation focuses on the impact of machining input constraints and the advancement of robust optimisation technique during powder-mixed wire electric discharge machining (PMWEDM) of Ti6Al4V alloy. The machining inputs are figured out for experimentation such as pulse on time (Ton), pulse off time (Toff), peak current (Ip), gap voltage (GV), and powder concentration (PC) based on preliminary observation and existing research work on that area. Another attention is to reach the optimal value of the metal removal rate, surface roughness, and cutting speed. A comparative study is executed between GRA and GRA-PCA in the present research work. It is found that GRA-PCA has an adequate capability of 23.04% larger than the GRA technique. ANOVA analysis is revealed that powder concentration and pulse on time are the most significant parameter whereas pulse off time and gap voltage are the significant parameter for surface roughness. Therefore, the confirmation test is validated through experimentation and surface topography analysis.