Surface roughness model and parametric optimization in machining of GFRP composite: Taguchi and Response surface methodology approach

Abstract

In the present work, response surface methodology (RSM) is applied to determine the optimum machining conditions leading to minimum surface roughness in drilling of GFRP composite. The experimental plan and analysis is based on the Taguchi L27 orthogonal array taking spindle speed (N), feed (f) and diameter of drill bit (d) as important parameters. The optimum combination for the parameters is found to be N1-f2-d2. The ANOVA result shows that spindle speed is the most significant parameter on surface roughness followed by diameter of drill bit and the feed is found to be insignificant parameter from the study. The second order mathematical model in terms of machining parameters are developed for surface roughness prediction using response surface methodology (RSM) on the basis of experimental results. The experimentation is carried out with HSS tool for drilling of GFRP. The model selected for optimization is validated with F-test. The adequacy of the models on surface roughness is established with Analysis of Variance (ANOVA).