Optimization of CNC Turning Operation Parameters for H-13 Tool Steel Towards Sustainable Manufacturing

Abstract

In this study, the multi-criteria decision-making (MCDM) method was applied for the optimum parameter selection in CNC turning operations. The aim of this paper is to optimize the process parameters for the H-13 tool steel. In this study, the TOPSIS ranking method is used for the selection of process parameters. However, the three levels of parameters were considered for optimization, which are cutting speed, feed rate, and depth of cut. H-13 tool steel material has wide applications in bulk as well as in sheet metal forming industries for the manufacturing of rolling, extrusion, bending, and forging dies. Due to the wide application of this material, there is a need to develop the optimum process parameter for an effective machining process. In this work, the combination of the parameters was planned in the Taguchi ANOVA L18 array for experimentation on a CNC machine. However, the Taguchi technique is applied for efficient and reliable product design and development so that variations in machining processes can be minimized. Furthermore, the ANOVA is used to study the relationship between the variables. According to the combinations of the parameters, the experiments were conducted, and the output parameters were measured, which are material removal rate (MRR), surface roughness (Ra), tool tip temperature, and emissions produced during the machining process for a sustainable solution. The main objectives of this study are to maximize the material removal rate and to get the minimum surface roughness (Ra). In this work, the optimum parameters are observed to be: cutting speed of 200 m/min, feed rate of 0.15rev/mm, and depth of cut of 0.6mm, which give the best combinations to achieve high MRR and low Ra values.