USING GENETIC ALGORITHM OPTIMIZING THE CUTTING PARAMETERS OF AWJM PROCESS FOR ALUMINIUM 6061 ALLOY

Abstract

For the past years we have witnessed a rapid progress in the development of harder, tough and complexity to machine metals and alloys. Abrasive water jet machine is one of the recently developed hybrids, nontraditional machining process in processing different kinds of hard-tomachining the materials nowadays. It is a reasonable method to process the heat sensible material without generation of heat while machining. Machining limitations play the lead role in defining the machine economics and quality of machining. In this study the significance of Pressure, Abrasive flow rate, Orifice diameter, focusing nozzle diameter and Standoff distance, process parameters, on metal removal rate and Strontium of Aluminium 6061 alloy which is machined by Abrasive water jet machine was experimentally completed and analyze. According to Response Surface Methodology design, different experiments were conducted with the combination of input parameters on this alloy. This paper presents the Prediction and Optimization of metal removal rate and Strontium on Aluminium 6061 alloy using multi objective Genetic Algorithm.