Parametric Study of Wire-EDM Process in Al-Mg-MoS2 Composite Using NSGA-II and MOPSO Algorithms

Al-Mg-based composite is used in producing a variety of components. To improve the machinability composite, MoS2 added. For characterizing machining different wt.% (2, 4, and 6) are added as reinforcement. Wire Electrical Discharge Machining (WEDM) process performed to analyze kerf width surface roughness. Due complex nature WEDM process, necessity for its optimization through use innovative methods well-proven research. Evolutionary algorithms, specifically genetic algorithm based on NSGA-II Multiple Objective Particle Swarm Optimization (MOPSO), optimizing assessing impact current, pulse time, gap voltage roughness, an analysis selected parameters performed. MOPSO takes lesser iterations compared giving nearly same optimal fronts achieving low The 10–12 A 50–57 µs 30–33 V Pareto-optimal solutions better performance achieved samples. In addition, supplementary DOE method applied determine relationship between factors affecting response. revealed that current has played major part governance roughness over time Al-Mg-MoS2 composite.