Response Surface Methodology and Genetic Algorithm used to Optimize the Cutting condition for Surface Roughness Parameters in CNC Turning

Abstract

In the present study, response surface methodology has been applied to determine the optimum cutting conditions leading to minimum surface roughness in CNC turning operation on EN-8 steel. The second order mathematical models in terms of machining parameters were developed for surface roughness prediction using response surface methodology (RSM) on the basis of experimental results. The experimentation was carried out with coated carbide tool for machining of EN-8 steel. The model selected for optimization has been validated with F-test. The adequacy of the models on surface roughness has been established with Analysis of Variance (ANOVA). An attempt has also been made to optimize the surface roughness prediction model using Genetic Algorithm to find optimum cutting parameters.