Optimization of Electric Discharge Machining Process Parameters Using Simulated Annealing Optimization Algorithm

The Simulated Annealing (SA) Optimisation Algorithm is used in this project to optimize the Electrical Discharge Machining process parameters. The primary goal is to improve the Material Removal Rate (MRR) while reducing Surface Roughness (SR), which are two essential performance indicators in EDM. Because MRR and SR are competing objectives, the optimisation attempts to strike a balance by selecting optimal parameter choices. The objective function is developed using Regression Analysis (RA) and the SA algorithm. When machining settings are optimised, MRR and SR show considerable improvements. The workpiece is made of AISI 4340 steel, and the electrodes are made of copper. The SA approach produced results that closely matched experimental data. A comparative analysis of outcomes from the Genetic Algorithm (GA), SA, and experimental methods is also presented, demonstrating the effectiveness of the proposed optimization strategy.