Tool wear, 3D surface topography, and comparative analysis of GRA, MOORA, DEAR, and WASPAS optimization techniques in turning of cold work tool steel

The present study examines the cutting of X210Cr12 cold work tool steel by a triple (CVD) coated carbide tool (Al2O3/TiC/TiCN). This is an experimental investigation followed by modeling and optimization inherent to the cutting process of the above material. The first part of this work deals with carrying out experimental tests to evaluate the effects of cutting parameters on the flank wear (Vb) evolution and workpiece surface topography including 2D and 3D functional parameters. In the second part, a Taguchi L16 (4<^>3 2<^>1) design of experiment was adopted to optimize cutting conditions. For that, a single objective optimization based on Taguchi analysis using the signal/noise (S/N) ratio was performed. In addition, multi-criteria optimization was conducted by (GRA, MOORA, DEAR, WASPAS) methods using the (S/N) report. The desired objective corresponds to the minimization of Ra, Fz, and Pc and the maximization of MRR. A comparison between the optimal regimes found by the different methods used has been analyzed and discussed. Finally, confirmation tests were conducted to determine the results of the optimal regimes obtained outside the experimental design.

Automated summary

The present study investigates the cutting of X210Cr12 cold work tool steel using a CVD coated carbide tool. Experimental tests are conducted to evaluate the effects of cutting parameters on flank wear and workpiece surface topography. The cutting conditions are then optimized using Taguchi analysis and multi-criteria optimization methods. The results obtained from different optimization techniques are compared and discussed. Confirmation tests are conducted to validate the optimal cutting conditions obtained.