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The tribological properties of acrylonitrile-butadiene-styrene (ABS) polymer filled with micron-sized calcium carbonate (CaCO 3 ) are studied in this paper. Filler content, normal load and sliding speed are considered as design parameters and coefficient of friction (COF) and specific wear rate are considered as the responses. The experiments are conducted on multi-tribotester (blockon-roller configuration) based on L 27 orthogonal array (OA). The optimum design parameter combination for minimum coefficient of friction and specific wear rate are found using grey relational analysis. The optimum parameter combination is found to be 5% of filler content, 35 N of load and 120 rpm of speed. Analysis of variance (ANOVA) is also used to find out the most influential factor which affects the tribological properties. The most influential factor is normal load followed by sliding speed and filler content. Further, a confirmation test is carried out to validate the result and it is seen that the grey relational grade is increased about 72.56% from the initial to the optimum condition. Finally, surface morphology is studied using scanning electron microscopy (SEM).

A B S T R A C TIn present the improved demand of lightweight materials by high strength to weight ratio in the aerospace and automotive industries has managed to the development and custom of Al-alloy-based composites. In this paper an effort has been prepared the Al6082+Cu+Zn composite material and the optimization of CNC milling process parameters for two different work materials of compositions are Al6082 96%+Cu3%+Zn1%, Al6082 89%+Cu7%+Zn4% composite material. .The characteristics of these alloys have strength as well as weight ratio makes the extensive research on Al-Cu-Zn alloy MMC is carried out universally because of it is widely used in automotive & aerospace industries. Tribological behavior of aluminum alloy matrix is fabricated by using the stir casting process was investigated. The concept of grey system stands a innovative optimizing technique for accomplishment the estimate, grey relational analysis and resolution building in various regions. In this paper, usage of grey relational analysis aimed to optimizing the machining process parameters for the work piece is surface roughness and the metal removal rate is familiarized. In directive to increase the quality and productivity by using the optimization of CNC milling process parameters like speed, feed rate, depth of cut and different coated HSS tools to afford a good surface finish as well as high material removal rate. Therefore a multi objective optimization problem has been obtained which can be solved by the hybrid Taguchi method comprising of grey relational analysis.. Finally, Taguchi method has been used to solve the optimization problem.

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