Purushottam Kumar Sahu
Dr. Satyendra Sharma
Abstract
Due to conversion of the water’s potential energy and abrasive into pressure energy, material starts to erode from impinging zone of work material water jet machining technique in which aluminium oxide and other abrasive particles, silicon carbide contained water jet to increase the rate of abrasive particles a level above a water jet machine. This research’s aim is to see how AWJM factors affect mild steel cutting and how to improve process parameters. The L9 Taguchi Technique was used in the tests. 3D surface plots are input process parameters are presented for interaction effects. Through ANOVA analysis contribution percentage was calculated using of comparison of every process parameter to surface roughness was predicted using a linear regression model.In statistical approach for analysing data alters the parameters of a process. The grey relation grades are now analyzed with Taguchi in Minitab software. To estimate optimum process parameter Transverse speed, 85 Tv (mm / min), standoff distance, 5 Sd (mm) and friction flow rate, 450 (g / min) A respectively The higher values of the median grey relational grade (G.R.G) which correspond to the lowest values of performance characteristics. By using of Response surface method for optimization. The overall desirability is 0.9947. Through improved mathematical model ,identify the optimal process factor sets are transverse speed, 85 Tv (mm / min), standoff distance, 5 Sd (mm), and abrasive flow rate of 450 (g/min). Similarly, as a result, conclude of the study will be useful to machining in today’s manufacturing businesses.
Keywords- Abrasive Water Jet Machining Reaction, Surface Methodology, Surface Roughness, Kerf Taper Angle, Multi-purpose optimization