Optimization Techniques in Turning - a Review

Abstract

This paper reviews the literature on use of optimization techniques in machining operations, particularly turning. Optimization techniques have undergone lot of changes and developments and include conventional methods like Weighted sum method, Ellipsoid algorithm etc. and advanced techniques like Genetic Algorithm (GA), Particle Swarm Optimization (PSO) etc. The review has been carried out considering different objectives like cost, cutting forces, production time and surface roughness. The review considers the application of a single method and combination of methods and its use in conventional and non-conventional material machining. Finally, a case study which involves application of GA and PSO for optimizing surface roughness in high-speed turning of mild steel is presented.