Desirability Fuzzy Multiple Criteria Optimization of Process Parameters in CNC Turning of GFRP/ Vinyl Ester Composites

AbstractAlthough, Glass fiber reinforced vinyl ester resin is used for the production of many electrical components, automotive structural parts, sporting goods and high performance marine equipments, very little is known about its machining aspects. In this study, a hybrid multiple criteria optimization algorithm involving desirability index and fuzzy inference system coupled with Taguchi methodology is used to evaluate the optimal cutting parameters setting, in order to satisfy contradictory requirements of quality and productivity. Woven fabric based GFRP/ Vinyl ester tubes are finish turned using PCD cutting tool. Four process parameters, each at three levels are selected for the study viz. cutting tool nose radius, cutting speed, feed rate and depth of cut. Individual desirability indices of the three performance measures, viz. surface roughness, tangential cutting force and material removal rate are converted into a single multi-performance characteristics index (MPCI) using fuzzy inference system, which is then optimized using Taguchi analysis