THE IMPLEMENTATION OF TAGUCHI METHODOLOGY FOR OPTIMIZATION OF END MILLING PROCESS PARAMETER OF MILD STEEL

摘要

In this paper Taguchi method is applied to find optimum process parameters for end milling while machining of mild steel. A L9 orthogonal array, taguchi method and analysis of variance (ANOVA) are used to formulate the experimental layout, to analyses the effect of each parameter on the machining characteristics and to predict the optimal choice for each end milling parameter such as spindle speed, feed rate, depth of cut and width of cut, and analysed the effect of these parameter on the material removal rate (MRR) and surface roughness (SR). Results obtained by taguchi method match with ANOVA and cutting speed are highly influencing parameter. The analysis of the taguchi method reveals that, in general the spindle speed significantly affects the SR, while, the feed mainly affects the MRR. Experimental results are provided to verify this approach.