Artificial immune system approach for optimizing abrasive water jet machining process on super alloys.

The aim of this work is to adopt artificial immune system approach to optimize Abrasive water jet machining parameters during machining on Monel. The process parameters considered are pressure of pump, flow rate of abrasive materials, traverse/cutting speed and standoff distance. In AWJ process parameters plays a crucial role in finding the economics and ability of machining process. The objective behind this experimental study is to conduct a research and analysis of process parameters influence on Kerf and R_a of the Monel 400 work-piece. Taguchi's L16 Orthogonal array approach is used in order to design the experiments to measure the surface roughness and kerf. The order of significance of each input parameters on surface roughness and kerf is determined using Analysis of variance (ANOVA). Multi linear regression model (MLRM) was developed for both kerf and surface roughness. Further, the combined MLRM equation of kerf and surface roughness was optimized using artificial immune system (AIS) algorithm and it was found that at traverse speed of 115.3965 mm/min, stand-off distance of 1.400149 mm, abrasive flow rate of 782.7314 gm/min and pressure of 3686.783 bar were the best set of values to achieve the minimum possible kerf and R_a together. [ABSTRACT FROM AUTHOR]