[01] R. Arokiadass, Department of Mechanical Engineering, St. Anne’s College of Engineering and Technology, Tamilnadu, India.

This experimental work presents a technique to determine the better surface quality by controlling the flank wear and surface roughness of Al/SiCp composites using TiN coated solid carbide end mill cutters. In machining operations, achieving desired surface quality features of the machined product is really a challenging job. Because, these quality features are highly correlated and are expected to be influenced directly or indirectly by the direct effect of process parameters or their interactive effects. Thus the four input process parameters such as spindle speed, feed rate, depth of cut and content of silicon carbide have been selected to minimize the flank wear and surface roughness simultaneously by using the central composite design (CCD) using Response surface methodology (RSM). Mathematical models for flank wear and surface roughness were obtained to predict values of VBmax and Ra and. ANOVA analyses were also performed to obtain for significant parameters influencing flank wear and surface roughness. The Non-dominated Sorting Genetic Algorithm (NSGA-II) tool was used to optimize the end milling process parameters to minimize VBmax and Ra. A non-dominated solution set has been obtained and reported.

End Milling, TiN Coated Solid Carbide End Mill Cutter, Flank Wear, Surface Roughness, Response Surface Methodology, Non-dominated Sorting Genetic Algorithm (NSGA-II)

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