1. 南京工业职业技术大学 机械工程学院,南京,210023
2. 江苏省精密制造技术工程研发中心,南京,210023
[ "代祥,副教授,博士," ]
[ "宋海潮,教授,博士," ]
纸质出版:2025
移动端阅览
代祥, 宋海潮. 微量润滑切削液雾滴在线混合装置优化与试验[J]. 机械科学与技术, 2025,44(3):465-476.
代祥, 宋海潮. Optimization and Experiment of Multi-component Inline Mixer for Mixing Cutting Fluid Droplets in Minimal Quantity Lubrication[J]. Mechanical Science and Technology for Aerospace Engineering, 2025, 44(3): 465-476.
代祥, 宋海潮. 微量润滑切削液雾滴在线混合装置优化与试验[J]. 机械科学与技术, 2025,44(3):465-476. DOI: 10.13433/j.cnki.1003-8728.20230210.
代祥, 宋海潮. Optimization and Experiment of Multi-component Inline Mixer for Mixing Cutting Fluid Droplets in Minimal Quantity Lubrication[J]. Mechanical Science and Technology for Aerospace Engineering, 2025, 44(3): 465-476. DOI: 10.13433/j.cnki.1003-8728.20230210.
切削液在线混合式微量润滑喷雾通过获得油水融合型雾滴,可有效改善加工区的润滑和冷却特性。为促进异相切削液在线混合及融合,构建了预雾化切削液精准在线混合微量润滑系统,采用数值方法优化了射流式切削液雾滴在线混合装置,并进行了试验验证。数值仿真表明:采用DPM模型对预雾化雾滴在装置内迁移运动进行数值模拟,并采用面积加权均匀性指数γα描述其截面分布,可有效衡量在线混合效果;喷嘴直径dn和注入口个数n对水雾分布均匀性影响显著,而面积比m和分流器长度Lnt则不显著,且仅有Lnt对检测面上油雾分布均匀性无显著影响;混合装置最优参数为油雾注入口no = 2,水雾注入口nw = 3、dn = 2 mm、Lnt = 7 mm、m = 1∶2。验证试验表明:优选装置对应油基和水基切削液喷雾沉积CV值(变异系数CV,记为CV)分别低至0.2050和0.3183,对应γim值(沉积均匀性指数)则分别高达0.9165和0.8888,均优于其他结构参数混合装置;主射流气流量和预雾化气流量的增加均有助于实现更高的喷雾沉积均匀性以及更小的沉积雾滴直径。优选装置能够实现良好的异相雾滴混合融合效果,避免单相雾滴存在。
The application of minimal quantity lubrication (MQL) with inline-mixed multi-component cutting fluids enables effective lubrication and cooling in machining processes through oil-on-water (OoW) droplet generation
which necessitates an optimized mixing system. This study developed a precision inline mixing MQL system with optimized structural configurations to enhance heterogeneous cutting fluid droplet fusion. The research methodology comprised numerical simulations assessing droplet distribution uniformity across various mixer designs
complemented by experimental validation through spray pattern analysis and deposition characterization. Results indicate that the DPM (Discrete phase model) model can be applied to numerically simulate the migration movement of the heterogeneous pre-atomized cutting fluid droplets in the mixer
and the area-weighted uniformity index (γα) can be applied to extract and analyze the distribution characteristics of the droplets at the outlet section of the mixer
which can effectively measure the inline mixing efficacy of the mixer. The nozzle diameter dn and the number of injection ports n have significant effects on the distribution uniformity of water droplets in the end section of the mixer
while the area ratio m and the diverter length Lnt have no clear effects. Moreover
only the Lnt has no significant effects on the uniformity of the oil droplet distribution in the detection section. The optimal parameters of the mixer determined by numerical simulation are no (Number of oil jet inlets) = 2
nw (Number of water jet inlets) = 3
dn = 2 mm
Lnt = 7 mm
m = 1∶2. The physical spraying tests indicate that the spray deposition CV (Coefficient of variation) value of oil-based and water-based cutting fluid is as low as 0.2050 and 0.3183
and the corresponding γim (Deposition uniformity index) is as high as 0.9165 and 0.8888
respectively. The spraying deposition uniformity for the mixer with optimal structural parameters is better than that for other mixers. The optimized mixer configuration achieves superior deposition uniformity compared to alternative designs. Enhanced main and pre-atomization airflow parameters significantly improve deposition uniformity while reducing droplet diameter for both oil-based and water-based cutting fluids. The optimized system effectively ensures heterogeneous droplet fusion
eliminating single-phase droplet formation and meeting practical application requirements.
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