Process Parameters Optimization by using the Regression Method in Micro Abrasive Air Jet Machining on Alumina Reinforced Zerconia Composite Materials

Abstract

It is very difficult to make a hole in brittle materials like glass and ceramic materials by using conventional machining methods like turning and milling therefore non conventional machining such as micro abrasive air jet machine is used to overcome the above problem. In this research work to prepare alumina reinforced zerconia ceramic composite materials using powder metallurgy sintering method experiments have been conducted on micro abrasive air jet erosion tester. In this work to varied abrasive air jet machining parameters i.e. Pressure, Abrasive flow rate, Standoff distance and different Weight percentage of zirconium added into alumina i.e. 5wt%, 10wt% and 15wt% and responses are Material Removing Rate and Surface Roughness. 30μm size of Silicon carbide (sic) sand particles are impinged Ceramic composite plates with given input process parameters. L27 Orthogonal array of Taguchi and Regression analysis is used to determine the Signal to Noise ratios of all experiments and process parameters impact, Percentage contribution of each process parameters, square parameters and interaction parameters on MRR and Surface Roughness and check weather parameters, square and interaction parameters are significant are not, to eliminate insignificant parameters by using backward elimination method. To improve R2 value by eliminated insignificant parameters.