Machining parameters optimisation in turning of GFRP composites by desirability function analysis embedded with Taguchi method

摘要

The increase use of glass fibre reinforced polymer (GFRP) composites in recent years has led to an increased demand for machining. Accordingly, the need for accurate machining of composite has increased enormously. This paper presents optimisation of machining parameters in turning of GFRP composites with multi-response criteria-based desirability function analysis (DFA) combined with Taguchi method. Turning experiments were performed based on Taguchi's L25 orthogonal array on an all-geared lathe using cubic born nitride (CBN) tool insert. The machining parameters such as cutting speed, feed, depth of cut and fibre orientation angle (work piece) are optimised by considering multiple response characteristics namely surface roughness, cutting force, specific cutting pressure and cutting power. A composite desirability value is obtained for the multi-responses using individual desirability values from the desirability function analysis. Based on composite desirability value, the optimum levels of parameters have been identified and significant contributions of parameters were determined by analysis of variance. Finally, confirmation experiments were performed for the optimal combination of machining parameters and the significant improvement has been noticed.