Fuzzy Grey Relational Analysis for the Identification of Optimum Influencing Cutting Parameters in Turning

Abstract

This paper presents the optimization of feed rate and tool geometry, which are influential parameters of the cutting forces in turning by using Fuzzy Grey Relational Analysis. Taguchi’s L₁₆ orthogonal array is considered for 3 factors 4 levels of input cutting parameters. According to the design sixteen turning experiments are performed on Aluminum workpiece with the High Speed Steel (HSS) cutting tools of different rake angles, at different feed rates by varying tool approach angle; and the cutting responses like feed force, cutting force and Radial forces are recorded. Grey-fuzzy approach is used for the study of these response characteristics and optimal combination of influential input parameters is discovered. Based on the results of verification experiments it is found that there is a significant improvement in optimization of cutting forces by using Taguchi and Fuzzy-Grey Relational Analysis .