摘要
为掌握静电喷雾润滑液滴的粒径分布特性,将图像识别检测技术应用到荷电润滑液滴的粒径测量中。开展了采集图像中液滴区域的特征抽取和识别分析,建立了液滴的平面二维直径和空间三维直径的转换关系,提出了一种实用的气雾液滴粒径分布特性的检测方法。在建立液滴采集装置的基础上,进行了气雾不同截面液滴的采集和识别试验。实验结果表明,随着静电电压升高,喷雾索特平均直径减小,雾滴颗粒趋于均匀,雾化质量明显改善;在距喷嘴60 mm^140 mm的3个截面上,随着距离的增加,雾滴索特平均直径增大,雾滴趋于发散。
In order to understand the sizes distribution characteristics of the cutting fluid droplets for electrostatic atomization lubrication,image recognition and detection technology was applied to the sizes measures of the charged cutting fluid droplets.After the feature extraction and recognition analysis of droplets areas in collecting images,the transformation of two-dimensional plane diameter and three-dimensional space diameter was established.A practical method was presented to detect the distribution characteristics of droplets sizes in gas-fog flow.On the basis of setting droplets collecting device,the droplets in gas-fog flow were collected and detected on the different sections.The experiment results indicate that the Sauter mean diameter(SMD)of droplets become smaller with the electrostatic voltage increasing.The distribution of the droplets diameters become more uniform and the atomization quality is improved dramatically.On the three sections from 60 mm~140 mm,the average SMD of droplets are increased with the spray distance increasing and the distribution of the droplets diameters become more nonuniform.
出处
《机电工程》
CAS
2013年第12期1472-1476,共5页
Journal of Mechanical & Electrical Engineering
基金
国家自然科学基金资助项目(51375454)
关键词
静电喷雾
微量润滑
粒径
Matlab
图像处理
索特平均直径
electrostatic atomization
minimum quantity lubrication(MQL)
diameter
Matlab
image processing
sauter mean diameter (SMD)