To understand how various process parameters in wire electrical discharge machining (WEDM) affect surface quality metrics such as surface roughness and kerf width, Using an L27 orthogonal array, researchers looked at a hybrid metal matrix composite made of Al7075 alloy, 7.5% aluminum oxide (Al₂O₃), and 7.5% silicon carbide (SiC) nanoparticles and a technique that used inert gas assistance during the electromagnetic stir casting procedure. Process parameter values that provide the optimum machined qualities were determined using Taguchi-based Grey relational analysis (GRA), a multi-response optimization approach. Pulse on time, pulse current, pulse off time, and wire drum speed all had a role in the machining of the hybrid composite, but the analysis of variance showed that they were significantly important in the following order: 50.02%, 39.50%, 4.58%, and 2.75%. An improved Grey relational grade was found in a confirmation test performed at the ideal parameter setting, proving the validity of GRA.

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