Comparing Parametric Optimization of the Machining Parameters of Al2024-Sic for MRR using Taguchi and Applied Statistical Plots

In today's competitive world, the industries should have production systems which are capable of versatility, high production rate, precision and ability to produce highly finished goods. Due to this the value of input machining parameters responsible for the desired material removal rate becomes critical. In this thesis an experimental study is done in order to optimize and analyze the effects of process parameters in CNC end milling of Al 2024-SiC work material on material removal rate. Four machining parameters cutting speed, feed rate, depth of cut and number of flutes of the end mills are used. The experimentation plan is based upon the design matrix as per the Taguchi optimization technique's orthogonal arrays. The predicted values of the output responses are calculated with the help of Minitab-14 software. The results are also verified with the help of confirmation experiments. The experiment is conducted by Al 2024-SiCp stir cast plates. The processing of the job is done by solid carbide two, three and four fluted ends-mill tools under finishing conditions. The experimental matrices are designed using an L-27 orthogonal array as suggested by Taguchi methodology and the analysis of variance (ANOVA) for analyzing the performance characteristics.