PARAMETRIC OPTIMIZATION OF ABRASIVE WATER JET MACHINING USING TAGUCHI GREY RELATIONAL ANALYSIS AND RESPONSE SURFACE METHODOLOGY

Abstract

The project deals with optimization of the Abrasive Water Jet Machining of Titanium alloy grade2. Traverse speed, Abrasive flow rate and Standoff distance are considered as process parameters and their effect on performance measures i.e. Material removal rate (MRR) and Surface roughness (SR) will be studied through experimental investigation. Grey relational analysis will be applied to generate grey relational grade to identify the optimum process parameters. These optimum parameters can be adjusted to improve performances of AWJM. Finally Response Surface Methodology is applied to generate a mathematical model of each response.