Comparison of priori and posteriori approach of multi-objective optimization for WEDM on Ti6Al4V alloy

Abstract Titanium alloys are known to have some excellent properties, such as good biocompatibility, fatigue resistance and high strength weight ratio. Due these Ti6Al4V alloy is widely used in the biomedical field, aerospace automobile industries. In this article, pulse on-time (T ON ), off time OFF servo voltage (SV) were selected process parameters for wire electric discharge machining (WEDM) on alloy. The material removal rate (MRR) surface roughness (SR) determined responses. MRR SR been equated by a central composite design (CCD: response method technique). Then multi-objective Artificial Bee Colony optimization (MO-ABC) with Gray relational analysis (GRA) was priori approach optimization. Also, grasshopper algorithm (MO-GOA) has chosen posterior These two algorithms tested various iterations populations. Based elapsed time, it found that of better than When comparing based results, obtained gives combination multiple results. major outcome research quick, while produces many promising solutions.