Analysis&Optimization of Surface Roughness in CNC Milling Machine by Controlling Machining Parameters of EN 19 Steel

By optimization of various parameters of CNC milling process like spindle speed, feed rate and depth of cut, improvement can be achieved in surface finishing& MRR. Various methods are used for predict Surface Roughness& MRR in CNC milling machine. Here Genetic Algorithm will implemented for better and nearest result. Number of experiments will done by using CNC milling machine. An L9 Taguchi standard orthogonal array (OA) will choice for design of experiments and the main influencing factor will determined for each given machining criteria by using Analysis of variance (ANOVA), Genetic Algorithm (GA). The predicted values are confirmed by using validation experiments.