微量润滑系统参数对雾化特性的影响

During MQL cutting process, the atomization characteristics of the system affect the effect of mist particle penetration between interfaces. A laser particle size analyzer was used to test the atomization characteristics of the MQL system by a single factor test. The influences of system parameters such as air flow rate, injection distance, cutting fluid dosage and cutting fluid type on the average diameter and particle size distribution of fog particles were analyzed. Results show that air flow and spray distance are main influencing factors. When the air flow is maintained in 80~90 L/min and the spray distance is controlled in 40~50 mm, the atomization effect may be better. Based on aetor analysis method, a mist particle diameter prediction model was established under the condition of MQL. The error is less than 10%. It shows a good performance in describing the influence of MQL system parameters on atomization characteristics.