A Numerical Investigation on Oil Mist Behavior Used in Minimum Quantity Lubrication (MQL) Milling Process
Résumé
This paper predicts MQL projection on cutting inserts for different rotating velocities of a milling tool. The numerical model is based on a steady Reynolds-Average Navier-Stokes (RANS) formulation and multiphase Eularian-Lagrangian model to predict the air-oil flows. Pressure configurations and the orientation of the oil particles are studied. This study leads to a better understanding of the oil mist behavior in order to get the optimized design of the tool leading to various lubrication configurations taking into account the type of machining.