Optimization of Machining Performance Yields during Turning of GFRP Composites: A Grey based Taguchi Approach

Abstract

Glass fiber-reinforced polymer (GFRP) composites have made their applications increasingly noticeable mainly in the aerospace and automotive industries due to its lighter in weight and excellence mechanical properties. It has been found very difficult to assess the optimum process parameters responsible for machining. The thesis focuses on machining (turning) aspects of GFRP composites by using single point HSS cutting tool. The optimal setting i.e. the most favourable combination of process parameters (such as spindle speed, feed rate and depth of cut) has been obtained in view of multiple requirements of machining performance yields viz. tool tip temperature and surface roughness by using a grey Taguchi approach.