摘要
Electrostatic atomization minimum quantity lubrication(EMQL)employs the synergistic effect of multiple physical fields to atomize minute quantities of lubricant.This innovative methodology is distinguished by its capacity to ameliorate the atomization attributes of the lubricant substantially,which subsequently augments the migratory and infiltration proficiency of the droplets within the complex and demanding milieu of the cutting zone.Compared with the traditional minimum quantity lubrication(MQL),the EMQL process is further complicated by the multiphysical field influences.The presence of multiple physical fields not only increases the complexity of the forces acting on the liquid film but also induces changes in the physical properties of the lubricant itself,thus making the analysis of atomization characteristics and energy distribution particularly challenging.To address this objective reality,the current study has conducted a meticulous measurement of the volume average diameter,size distribution span,and the percentage concentration of inhalable particles of the charged droplets at various intercept positions of the EMQL nozzle.A predictive model for the volume-averaged droplet size at the far end of the EMQL nozzle was established with the observed statistical value F of 825.2125,which indicates a high regression accuracy of the model.Furthermore,based on the changes in the potential energy of surface tension,the loss of kinetic energy of gas,and the electric field work at different nozzle orifice positions in the EMQL system,an energy distribution ratio model for EMQL was developed.The energy distribution ratio coefficients under operating conditions of 0.1 MPa air pressure and 0 to 40 kV voltage on the 20 mm cross-section ranged from 3.094‰to 3.458‰,while all other operating conditions and cross-sections had energy distribution ratios below 2.06‰.This research is expected to act as a catalyst for the progression of EMQL by stimulating innovation in the sphere of precision manufacturing,providing theoretical foundations,and offering practical guidance for the further development of EMQL technology.
基金
supported by the Postdoctoral Science Foundation Funded Project,China(Grant No.2023M732826)
the Liaoning Provincial Science and Technology Program Project,China(Grant No.2023JH1/10400074)
the Special Fund of Taishan Scholars Project,China(Grant No.tsqn202211179)
the National Natural Science Foundation of China(Grant No.52375447)
the Liaoning Provincial Natural Science Foundation Project(Doctoral Research Start-up Project),China(Grant No.2024-BS-239).