Investigation on the effect of CNC Vertical Milling Process Parameters using Ball End Mill

This Study presents an L9 orthogonal array based experimentation to investigate the effect of various vertical milling process parameters on surface roughness and kerf width of high strength low alloy [HSLA] using a ball end mill. Each experiment was conducted under different conditions of Spindle speed, feed and depth of cut and responses were measured. The optimal level of importance of the machining parameters was determined by using analysis of variance (ANOVA). The optimum machining parameter combination was obtained by using the analysis of signal-to-noise (S/N) ratio. This study shows that the Taguchi's method is suitable to solve the stated problem with minimum number of trails. Input variables are taken from the experiment. Spindle speed with percentage contribution of 68.20% was the most significant factor for surface roughness. Feed rate with percentage contribution of 68.85% was the most significant factor for kerf width. Regression analysis was used and it was found that in surface roughness 89.9% of variation in the model can be explained by parameters. And in kerf width 94.28% of variation in model can be explained by the parameters.