Optimization of the Wire Electric Discharge Machining Process of Nitinol-60 Shape Memory Alloy Using Taguchi-Pareto Design of Experiments, Grey-Wolf Analysis, and Desirability Function Analysis

The nitinol-60 shape memory alloy has been rated as the most widely utilized material in real-life industrial applications, including biomedical appliances, coupling and sealing elements, activators, among others. However, less is known about its optimization characteristics while taking advantage to choose best parameter a surface integrity analysis using wire EDM process. In this research, authors proposed robust Taguchi-Pareto (TP)-grey wolf (GWO)-desirability function (DFA) scheme that hybridizes TP method, GWO approach, DFA method. point of method introduction discriminated signal-to-noise ratios contained selected 80-20 Pareto rule into objective GWO, which was converted from multiple responses single response accommodated by GWO. comparative results five outputs process before after reveals following understanding. For CR, gain 398% observed whereas for named Rz, Rt, SCD, RLT, losses 0.0996, 0.0875, 0.0821, 0.0332 were recorded. This discrimination ratio based on makes research different previous studies, restricting data fed essential accomplishing TP-GWO-DFA proposed. use efficient given limited volume required optimize parameters nitinol.