Performance assessment of different cooling conditions in the sustainable machining of Hastelloy X alloy

Abstract

The primary goal of this study is to explore techniques that can enhance the machinability of Hastelloy X under different cooling conditions. L₂₇ orthogonal turning experiments were performed with process parameters such as cutting speed (v_c), feed rate (f) and depth of cut (a_p) to study the effect of tool wear and machining cost. The control parameters of a procedure were evaluated through a multiple linear regression model (MLRM) derived from the correlation between the output responses and the input parameters. A multi-verse optimisation algorithm (MVO) was proposed for optimisation studies. It achieves this by minimising the tool wear and machining cost. The proposed algorithm was evaluated against the techniques used for particle swarm and salp swarm optimisations. According to the study, the MVO algorithm outperformed other methods to identify the optimal control parameters for a given process. Based on the analysis, the anticipated tool wear duration is 17.57 min, and the machining cost is estimated at 0.934 $/cm³ under cryogenic conditions. Cryogenic cooling reduces chipping and adhesion in cutting by minimising workpiece softening and improving cutting tool hardness.