The cutting forces generated in turning are mainly influenced by speed, feed, depth of cut and tool geometry. The study of cutting forces for changes in tool geometry and feed rate using Taguchi Method and Fuzzy Logic is presented in this paper. Design of Experiments (DOE) helped in reducing the number of experiments to be performed. For an L16 orthogonal array DOE at different feed rates the turning experiments are performed on Aluminum rod with the HSS cutting tools by varying the tools of different rake angles at different approach angles and the values of responses (cutting forces) are tabulated. The analysis of the influence of feed rate and tool geometry on cutting forces is carried out by Taguchi and ANOVA methods and the optimal values of these factors are identified. A Taguchi based Fuzzy Logic system is developed using Taguchi experimental results. The cutting forces are estimated with the help of Fuzzy Logic system for the optimal values of feed rate and tool geometry. The prediction error is calculated for fuzzy results and is about 2.78 and the percentage of accuracy is 97.22%.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.