Optimization of Metal Removal Rate in Turning for AISI 1040 Steel using Taguchi and Fuzzy Logic

Abstract

Optimization is a system through which superior results are acquired under assured conditions. The challenge of modern manufacturing industries is generally motivated on achieving high quality, high production rate and longer product life with slighter environmental influence. The selection of optimal cutting parameters is a vital concern for all machining processes in order to develop the quality of machining products and diminishes the machining costs. This research work illustrates on the optimization of metal removal rate in turning operation by analyzing the effects of cutting parameters and here Taguchi, ANOVA (Analysis of Variance) & fuzzy logic method are applied to interpret the effect of these parameters on metal removal rate. For investigation, AISI 1040 steel is considered as workpiece where HSS (High Speed Steel) has been used as cutting tool and spindle speed, feed rate & depth of cut have been considered as cutting parameters. The fuzzy optimization that exists in fuzzy modeling enhances this research work more technically sound and sophisticated.