Taguchi method and ANOVA: An approach for process parameters optimization of hard machining while machining hardened steel

In this paper, Taguchi method is applied to find optimum process parameters for end milling while hard machining of hardened steel. A L-18 array, signal-to-noise ratio and analysis of variance (ANOVA) are applied to study performance characteristics of machining parameters (cutting speed, feed, depth of cut and width of cut) with consideration of surface finish and tool life. Chipping and adhesion are observed to be main causes of wear. Results obtained by Taguchi method match closely with ANOVA and cutting speed is most influencing parameter. Multiple regression equations are formulated for estimating predicted values of surface roughness and tool wear.