A Quantum Behaved Particle Swarm Approach for Multi-response Optimization of WEDM Process

摘要: The present study highlights a quantum behaved particle swarm optimization approach combined with maximum deviation theory to determine the optimal process parameters in wire electrical discharge machining during taper cutting operation. Experiments have been conducted using six such as part thickness, angle, pulse duration, current, speed and tension each at three levels for obtaining responses like angular error, surface roughness, speed. Taguchi’s L27 orthogonal array is used gather information regarding less number of experimental runs. Traditional Taguchi insufficient solve multi response problem. In order overcome this limitation, method has implemented, convert multiple into equivalent single called composite score. A model developed by non-linear regression analysis. Finally, parameter setting obtained technique.