The present work deals with the investigation of performance parameters of surface roughness and material removal rate of the machined parts during milling of Aluminum alloy 6065-T6 using CNC vertical milling machine with High speed steel milling, Carbide tool cutter by optimizing the process parameters such as speed, feed, cutting environment, depth of cut and cutting tool. The experiments are conducted based on Taguchi design of experiments with an orthogonal array (L16) the optimization of process parameters based on performance measures are done by using Fuzzy Logic. Also, the most influential process parameters are finding out by using ANOVA technique. Ideal execution parameters are found for smaller surface roughness and larger MRR utilizing the MINITAB and MATLAB software’s.
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.