Optimization of Machining Parameters in Turning Operations for Surface Roughness and Materials Removal Rate on EN8 through Combined SSA GA Algorithm

Abstract

For many industrial machining operations, the quality of surface finish is the prominent requirement. Nevertheless the selection of optimized cutting parameters is very essential for controlling the desired surface quality. Main aim of this attempt is to fix the set of cutting parameters combinations using optimization algorithms. Ant Colony algorithm, Scatter Search algorithm, Genetic algorithm and BAT algorithm were used for various parameters on the surface roughness to arrive a suitable combination of parameters which are optimal to meet the product quality requirement. The effectiveness of the algorithms is ordered based up on the error rate while computing and the best two algorithms are combined for more tuned outcome.