WEDM Process Parameters Optimization Using MOPSO

Abstract

AbstractNon-traditional wire electric discharge machining method is a high-precision machining method which is utilized for cutting of all sorts of conductive materials with different hardness in the manufacturing industry. Achieving the predefined quality of the product is the new normal of the manufacturing industries, and non-traditional wire electric discharge machining process shows effective improvements achieving the desired surface quality of the manufactured product. In this research, multi-objective nature-inspired optimization algorithm based on particle swarm optimization has been used to find the optimal output responses, i.e. cutting speed and surface roughness of wire electric discharge machining process with the input process parameters as pulse on time, pulse off time, peak current, spark gap set voltage, wire feed and wire tension. The proposed algorithm, i.e. multiple objective particle swarm optimization, is able to achieve a uniformly distributed Pareto front efficiently and provided a combination of 70 different optimal solutions for the wire electric discharge machining process, which gives flexibility to the manufacturing industries in choosing the right parameters for the desired goal/result with a very short computational time of 10.45 s. This research will help the industry to be more flexible as per the market demand and will increase the efficiency of the manufacturing process.KeywordsWEDMOptimizationMOPSO