Abstract
Engineering Optimization leads to an important role in various engineering problems. Parametric optimization is a systematic and effective way of generating and equating the machining parameters to attain optimal machining. Aluminium and its alloys are widely utilized in various automotive sectors due to their superior characteristics and great strength. In this research, AA7075 aluminium alloy was investigated its machinability using the abrasive water jet cutting process. The main machinability parameters like abrasive flow rate, nozzle speed, and stand-off distance are set to vary to obtain optimum values of output values like material removal rate, hardness and surface roughness. Multi-objective optimisation cannot be executed by a traditional Taguchi method. The Grey Relation Analysis linked with the Taguchi method presents a new methodology to multi-parameter optimization as Grey-Taguchi method is adopted. The results shows abrasive flow rate and nozzle speed are the most effective parameters to obtain better output values.
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