Cutting parameters optimization for surface roughness in machining of GFRP composites using Taguchi's method

This article discusses the use of Taguchi's method and Pareto ANOVA analysis for optimizing the cutting parameters in turning glass fiber reinforced plastic (GFRP) composites using a poly crystalline diamond (PCD) tool for minimizing surface roughness. The cutting parameters evaluated are cutting speed, feed rate, and depth of cut. An L-27 orthogonal array, signal to noise ratio, and Pareto ANOVA analysis are used to analyze the effect of cutting parameters and its interactions. The experimental results suggest that the most significant process parameter is feed rate followed by cutting speed. The study shows that the Taguchi method and Pareto ANOVA are suitable for optimizing the cutting parameters with the minimum number of trials.