Investigations of Machining Parameters on Surface Roughness in CNC Milling using Taguchi Technique

Abstract

With the more precise demands of modern engineering products, the control of surface texture has become more important. This investigation outlines the Taguchi optimization methodology, which is applied to optimize cutting parameters in end milling operation. The study was conducted in machining operation for hardened die steel H-13. The processing of the job was done by solid carbide four flute end-mill tool under finishing conditions. The input machining parameters like spindle speed, depth of cut, and feed rate were evaluated to study their effect on SR (surface roughness) using L-9 standard orthogonal array. Signal-to-Noise (S/N) ratio, Analysis of Variance (ANOVA) and various plots were generated using MINITAB software. Finally the effect of machining input parameters on SR is studied and reported in this paper.

Key Words: CNC Milling, H-13, SR, L-9, ANOVA