Fuzzy Rule Based Optimization of Multiple Responses in Turning of GFRP Composites

Abstract

Glass fiber reinforced polymer (GFRP) composites are finding increased applications due to their superior advantages over other engineering materials. This paper presents, the use of Fuzzy logic combined with Taguchi method for the optimization of multiple performance characteristics considering surface roughness, and cutting force. Experiments were planned according to L 25 orthogonal array in Taguchi's design of experiments. Experiments were performed on an all geared lathe using CBN (Cubic Born Nitride) cutting tool insert. The results reveal that the optimization technique is greatly helpful for simultaneous optimization of multiple quality characteristics i.e., surface roughness (R a) and cutting force (F z).