The surface roughness is one of the most important requirements in machining
process, as it is considered an index of product quality. It measures the finer irregularities of the
surface texture. Achieving the desired surface quality is critical for the functional behavior of a
part. The better surface quality is desired for the proper functioning of the produced parts.
Surface roughness measurement presents an important task in many engineering applications. In
the present work, the turning parameters like cutting speed, feed rate and depth of cut are
optimized for minimizing the Ra in turning of Al2285 – 4 wt.% Si3N4 – 6 wt.% Mullite Hybrid
MMC’s with HSS tool. The Taguchi and Analysis of Variance (ANOVA) conveniently used
to optimize the cutting parameters with several well-designed experimental runs. Taguchi’s L27
orthogonal array is used in the design of experiment. Furthermore, analysis of variance is
performed to see which process parameters are statistically significant.
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