Abstract
The present study analyses the effect of input parameters namely peak current (Ip), pulse-on-time (Ton), duty cycle (DC) and gap voltage (Vg) on the response variables material removal rate (MRR), tool wear rate (TWR), diametral overcut (Z) and surface roughness (SR) during the electric discharge machining of AlSiC metal matrix composite (MMC) using copper tool electrode. L9 orthogonal array was selected to conduct the experiments. Multi objective optimization has been done using a hybrid approach by combining principal component analysis (PCA) and technique for order preference by similarity to ideal solution (TOPSIS) to obtain the optimum set of input parameters. Microstructure analysis was carried out on the machined surface obtained from the optimal set using Scanning Electron Microscope (SEM) to investigate the surface modification on the workpiece.
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