Multiobjective Optimization of WEDM Parameters on the Mg-HNT-Zr Hybrid Metal Matrix Composite Using Taguchi-Coupled GRA

The current research deals with Taguchi-coupled grey relational analysis (GRA) multiobjective optimization of wire electric discharge machining (WEDM) for better surface roughness (Ra) and the material removal rate (MRR) over magnesium/halloysite nano tube/zirconium (Mg/HNT/Zr) metal matrix composite (MMC). Hybrid composites are created through powder metallurgy route by varying weight percentage reinforcements HNT (5 10%) Zr (0.5 1%) to base magnesium. Machining is carried out factors such as reinforcement’s percentage, pulse OFF time, ON feed (WF) based on Taguchi’s L27 orthogonal array. response were studied GRA evaluate optimized parameters. ANOVA results reveal contribution certain composites. developed regression model proved that predicted values merely similar experimental MRR Ra. best parametric combinations obtained from inline minimum reinforcements, higher Pon, WF, lowered Poff used attain during minimized roughness.