Analysis on Influence of Feed Rate and Tool Geometry on Cutting Forces in Turning Using Taguchi Method and Fuzzy Logic

AbstractIn this paper, the influence of feed rate and tool geometry on cutting force during turning is studied by using Taguchi Method and Fuzzy Logic. Series of turning experiments are conducted according to Taguchi Experimental Design on Aluminiumwork piece with the HSS cutting tools having different angle geometry at different feed rates and the values of responses (cutting forces) are recorded. Taguchi orthogonal array is designed with three factors each at four levels using MINITAB software. The experimental data is analyzed and the influence of feed rate and tool geometry on cutting forces is studied and the optimum values of these factors are identified. A fuzzy rule based system is developed for the estimation of cutting forces for the optimum values obtained from Taguchi Method. Finally a confirmation test is conducted for the Fuzzy Logic estimated values at optimized input parameters, and found that the prediction error of fuzzy results is about 4.56 and the percentage of accuracy is 95.44%