Multi-Optimization in Turning Process

This paper presents a study on the multi-objective optimization of the turning process. Twenty-five experiments, designed using the Taguchi method, were conducted. In each experiment, the values of five parameters were varied: tool nose radius, tool overhang length, spindle speed, feed rate, and depth of cut. Three output parameters were measured for each experiment: surface roughness, roundness deviation, and material removal rate. Four different methods were employed to determine the weights of the output parameters. The FUCA method was then used to solve the multi-objective optimization problem. This process was repeated four times, corresponding to the four sets of criteria weights. The objective of the multi-objective optimization was to identify the input parameter values that simultaneously minimize surface roughness and roundness deviation, while maximizing material removal rate. Surprisingly, the optimal values for the input parameters were identical across all four weighting methods. The optimal values for tool nose radius, tool overhang length, spindle speed, feed rate, and depth of cut were found to be 0.8 (mm), 40 (mm), 587 (rev/min), 0.316 (mm/rev), and 0.6 (mm), respectively.