Modeling and Analysis of Process Parameters in Machining AISI 304 Stainless Steel Using Fuzzv Logic

Abstract

Analysis of surface roughness and Material Removal Rate play vital roles in machining Austenitic steels. Austen/tic stainless steels have high ductility, low yield stress and relatively high ultimate tensile strength, when compared to typical carbon steel. In the present work, prediction of surface roughness and material removal rate in milling of A/SI 304 stainless steel is carried out using fuzzy logic. 2 7 experiments based on Taguchi's L21 orthogonal array were carried out involving three machining parameters namely, cutting speed, feed rate and depth of cut, each defined at three levels. Subsequently, the prediction model was developed using triangular fuzzy logic membership function. It is found that the predicted values of proposed responses such as surface roughness and Material Removal Rate are very close to the experimental values within the chosen ranges of the process parameters. The statistical analysis using ANOVA on machining parameters are also presented and discussed.