Abstract— Manufacturing process primarily spotlights its objective as increasing productivity embedded with improved performance. In the scenario of contest between the sectors of industries, it is most important criteria to have an optimized performance in Machining parameters to have a better role of independence in owing to improve from better production to best production. In this task of Turning it is focused to find optimum cutting parameters such as Spindle speed, Feed and Depth of cut in order to have improved performance on Machining time and Surface Roughness. This work focuses on CNC turning of EN 8 steel using Cemented Carbide tool for varying Spindle speed, Feed and Depth of cut. The experiment is designed for Second order linear model using Response surface Method (CCD). Mathematical formulation is carried out by correlating the values of responses Machining time and Surface Roughness with the contribution of Spindle speed, Feed and Depth to develop the Empirical models for the responses. The Optimization of cutting parameters is carried out using Genetic Algorithm (GA).

Index Terms— Response Surface Methodology (RSM), Genetic Algorithm (GA), Surface roughness, Central Composite Design (CCD)

Cite: N Ganesh, M Udaya Kumar, C Vinoth Kumar, and B Santhosh Kumar, " Optimization of Cutting Parameters in Turning of En 8 Steel Using Response Surface Method and Genetic Algorithm," International Journal of Mechanical Engineering and Robotics Research, Vol. 3, No. 2, pp. 75-86, April 2014.