Multi-Objective Optimization of Machining Parameters for Sustainable Turning of AISI 630 Stainless Steel using Taguchi-Based Desirability Function Analysis

Dry machining has a good association with ecological and economic control. Even though dry machining is environment-friendly, it produces poor surface quality with excessive tool wear due to a vast amount of heat generation at the machining interface. This paper aims to determine the optimum machining parameters for enhanced machining performance. The turning process was performed under a dry environment on AISI 630 steel by varying the machining parameters. The experimental run for three factors, each at three levels, was framed with the help of Taguchi's technique. Machining responses such as tool-work interface temperature, surface roughness, and material removal rate were measured online and offline with corresponding measuring devices. A temperature measuring system was developed indigenously to measure temperature. The effect of machining parameters on machining response, determination of optimum machining parameters for individual machining response, the influence of machining parameters on machining responses, and mathematical model for individual machining response were discussed. Taguchi-Desirability Function Analysis was employed to determine the optimum machining parameters for enhancing the machining performance. Enhanced machining performance was obtained at the optimum parameters of 800 rpm, 0.12 mm/rev, and 0.70 mm.