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 ).

Modelling and optimizing performance parameters in the wire-electro discharge machining of Al5083/B4C composite by multi-objective response surface methodology

“…In effect, the use of linguistic variables and fuzzy IF-THEN rules exploits the tolerance for imprecision and uncertainty. These rules produce one or more rejoinders depending on which they are abided [53]. The response obtained from each rule is weighted with respect to the value of membership degree of its inputs and the centroid approach of the responses is used to evaluate the appropriate output.…”