Comparative study of Parametric Optimization of the End Milling of Al2024-SiC MMC on Surface Roughness using Taguchi Technique with 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 surface finish & material removal rate becomes critical. Present paper presents a study on parametric optimization of the End Milling machining of Al2024-SiC metal matrix composite on quality characteristics namely surface roughness and material removal rate using Taguchi Technique. The end milling parameters selected is speed, feed, depth of cut and number of flutes. How these parameters influence the response outputs like MRR and surface roughness is analysed with the help of Taguchi Technique and ANOVA. At the same time various statistical plots are generated with the help of MiniTab software like residual plots, contour plots and surface plots. Twenty seven experimental runs based on design of experiments and L27 orthogonal array of Taguchi method are performed and data so obtained is used to subsequently applied to determine an optimal end milling parameter combination. Finally, confirmation tests carried out at optimum cutting conditions to make a comparison between the experimental results and developed model. The predicted results are found to be closer to experimental results by confirmation test. After this the results of Taguchi optimization are compared with the statistical plots found to be in close conformity with each other.