Multi-Objective Optimization in CNC Milling Process of Al-Cu-Zn Alloy Matrix Composite by Using Taguchi-Grey Relational Analysis Technique

In 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.