Assessment of Technological Performance Parameters in Intermittent Turning and Multi-Response Optimization of Cutting Conditions using DF, MOORA, VIKOR, and NSGAII coupled with VIKOR Methods

Abstract

Abstract The objective of this study is to evaluate the influence of input factors such as cutting speed (Vc), depth of cut (ap), feed rate (f), and tool nose radius (r) during intermittent turning (IT) of AISI D3 tool steel. Eight (08) output parameters were considered: motor power (Pm), cutting temperature (Ct), flank wear (VB), material removal rate (MRR), surface roughness (Ra), cutting force (Fz), tangential vibration (Az), and sound intensity (Lp). The experiments were conducted using the Taguchi L9 (3^4) design with a triple-coated CVD carbide tool. A statistical analysis based on ANOVA was performed to quantify the effects of cutting factors on the output parameters. Processing the results using the RSM method enabled the development of mathematical models for different outputs, facilitating predictions. Finally, four (04) multi-objective optimization approaches were employed: DF, MOORA, VIKOR, and NSGA-II coupled with VIKOR, aiming to determine the optimal combination of cutting conditions. The four methods were analyzed and compared. The results obtained indicate that the DF approach suggests the best combination of inputs leading to the minimization of six (06) outputs (Ra, Pm, Ct, VB, Fz, and Lp). The MOORA approach emphasizes the minimization of vibrations (Az), while VIKOR yielded five outputs (Pm, VB, Ct, MRR, and Lp) that are better compared to the MOORA approach. The NSGA-II coupled with VIKOR approach exhibited the best productivity values (MRR).