Optimization of Dimensional, Surface Quality and Material Removal Rate in Turning using Response Surface Methodology and Duelist Algorithm

Measuring the productivity and surface quality of turning process, mainly depends on performance parameters, like surface roughness, roundness error and rate of material removal. The main goal of this paper is to investigate the cut depth effect, cutting speed and turning process feed rate for AISI4145 alloy steel performance parameters. Experimentaly designed RSM (Response Surface Methodology) implmented to correlate between the cutting condition parameters and its turning process performance. The efficiency of the proposed models was tested through analysis of variance (ANOVA). A novel optimization technique, known as Duelist Algorithm is then applied for finding the optimal combination between the cutting process parameters and its effect on the process performance parameters. It is done by minimizing the values of both surface roughness and roundness error alongside maximizing the material removal rate. The optimal solutions were confirmed experimentally.