Validation of MQL delivery system through simulation by computational fluid dynamics (CFD) analysis

The Minimum quantity lubricant (MQL) in mist form is supplied towards the cutting zone to reduce friction and heat that are inherently generated. Hence, analysing the mist flow behaviour is important in enhancing its lubrication advantages. Thus, in this study, an established 2D-symmetrical multiphase MQL delivery model was replicated and analysed by using the Computational Fluid Dynamics (CFD) of ANSYS. The main aim is to validate whether the present simulation model accurately represents the MQL mist behaviour based on its intended purposes. For that, Reynolds numbers (Re) at different flow distances from the nozzle were measured based on their velocity values. The obtained results showed approximately similar mist velocity and Re progress pattern with the presence of lubricating effect in the model. Only at a flow distance of 0.1125 mm, a significant difference of Re was identified due to different MQL model designs and parameters applied. Thus, it can be concluded that this validated model is feasible and acceptable to be applied as a reference in developing a new simulation model with an improved MQL delivery system in the future.