Parameters Optimization on Abrasive Water Jet Machining of Zerconia Ceramics

Abstract

Abstract: Ceramic materials play a vital role in industries for several reasons, owing to their unique combination of properties such as high temperature resistance, high wear and abrasion resistance and electrical insulation. Conducting experiments on an abrasive water jet machine involves manipulating three input parameters at three levels each. The parameters are water pressure (1.5 bar, 2.5 bar, and 3.5 bar), standoff distance (4 mm, 8 mm, and 12 mm), and abrasive flow rate (6 gm/sec, 12 gm/sec, and 18 gm/sec). The responses measured are material removal rate (MRR) and surface roughness (Ra). To systematically study the impact of these parameters the Design of Experiments (DOE) methodology is employed utilizing the L9 Orthogonal Array (OA) to streamline the experimental design. The Taguchi technique is then applied to predict the optimal process parameters. For a comprehensive analysis of Variance (ANOVA) is employed to quantify the percentage contribution of each input parameter to the responses shedding light on their relative significance. Additionally the regression coefficient (R2 ) is assessed to gauge the degree of agreement between the experimental and predicted values for the responses