Modeling and Optimization of Machining Parameters for Turning of Mild Steel Using Single-Point Cutting Tool Made of P20 Tool Steel

The work deals with optimization of the feasible parameters and identification of the most feasible parameter for turning operation using the response surface methodology, Grey–Taguchi method, and ANOVA. Mild steel was turned using a single-point cutting tool made of P20 tool steel by varying the parameters such as depth of cut, feed rate, and rake angle. L27 array was used to conduct the experiments. The responses such as material removal rate, surface roughness, and cutting force were measured. The optimized parameter is identified using Grey–Taguchi method. RSM is used to carry interaction study, and the most critical parameter is identified for ANOVA.