Study on vibration and surface roughness in MQCL turning of stainless steel

Abstract

Abstract Minimum quantity cooling lubrication (MQCL) is an alternative to the conventional flood cooling method, which satisfies ecofriendly and low-cost requirements. In this study, the full-factorial experimental method of machining AISI 304 steel under MQCL and flood cutting conditions were investigated to evaluate the surface quality and tool vibration. The surface roughness characteristics were analyzed using the power spectral density, and vibration and surface roughness models were predicted using the response surface methodology. Finally, simulated annealing and particle swarm optimization were combined to optimize the process parameters. The results revealed that a decrease in the surface roughness and vibration occurred under MQCL conditions. The feed rate significantly influenced the surface roughness, axial vibration, and radial vibration, and their corresponding contributions were 69.8 %, 63 %, and 51.05 %, respectively. With an increase in the cutting speed, the vibrations and surface roughness decreased. However, the cutting depth did not significantly influence surface roughness. The low-frequency vibration of the surface profile resulted in the formation of grooves and ripples. Therefore, the optimized cutting parameters, minimum surface roughness, and vibration could be obtained.