Abstract
An upgraded form of electric discharge machining is wire electric discharge machining (WEDM). Metals are sliced using a wire electrode in this approach. Here, spark erosion produced by constant heat creation is at play. Any shape may be produced and work pieces of any hardness may be cut using this procedure. This method provides goods with a surface quality that needs little to no polishing. With this process, accuracy is just as important as precision. The present study examines the effectiveness of two methods for process parameter optimisation in Ti-6Al-4 V material machining: Weighted Aggregated Sum Product Assessment (WASPAS) and Multi-Objective Genetic Algorithm. Material Removal Rate (MRR) and Surface Roughness (SR) have been chosen as the output response parameters with pulse on time (Ton), pulse off time (Toff), wire tension (Wt), and wire feed (Wf) as the input parameters. The Taguchi's L9 orthogonal array was used in the experiment design throughout the whole inquiry. Finally, Tableau 19 software performs the Exponential Trend Line Analysis for each response of the WEDM operation.
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