OPTIMIZATION OF MACHINING PARAMETERS IN BALL-END MILLING USING TAGUCHI METHOD

This paper outlines the Taguchi optimization methodology, which is applied to optimize cutting parameters in ball-end milling when hardened steel. Ball-end milling parameters evaluated are the cutting sped, feed per tooth, depth of cut and radial depth of cut. The experiments were conducted by using L9(34) orthogonal array as suggested by Taguchi. Signal-to-Noise (S/N) ratio and Analysis of Variance (ANOVA) are employed to analyze the effect of ball-end milling parameters on the orthogonal cutting forces in other words to find optimal levels of the process parameters. The study shows that the Taguchi method is suitable to solve the stated problem with minimum number of trials.