EDM of Metal Matrix Composite for Parameter Design Using Lexicographic Goal Programming

Abstract

This paper reports the results of a metal matrix composite (MMC) machined with electric discharge machining (EDM). The results were optimized using lexicographic goal programming to predict the ideal parametric combinations for machining of MMCs. Optimal conditions for the significant parameters were listed depending upon the requirements of the machining process which may vary from rough machining (higher material removal rate) and finish machining (lower surface roughness). The mean thickness of the recast layer formed after machining was also studied.

Keywords:

• Lexicographic goal programming (LGP)
• Material removal rate (MRR)
• Metal matrix composite (MMC)
• Recast layer (RCL) thickness
• Surface roughness (SR)
• Tool wear rate (TWR)

Notes

**Most significant, *Significant.