中文摘要：

为预测毛细管-环电极配置的高压静电雾化系统下水静电雾化雾滴粒径的分布规律,采用颗粒动态分析仪测试了该系统的雾化雾滴粒径。当环电极电压在15-25 kV之间时,静电雾化模式为泰勒锥射流模式,雾滴粒径呈显著双峰分布规律,对此利用一种可双峰分布的概率密度函数建立了预测该模式下粒径分布规律的统计学模型,并与试验数据对比进行了误差分析,讨论了误差原因。结果表明：随着电压的增加,电场力耦合因素的影响将导致误差增大;在每个电压工况下最大误差均出现在双峰之间的谷值附近,但均〈15%,总体上该模型能较好地与试验数据相符。

英文摘要：

To analyze the droplet diameter distribution characteristics of electrostatic spraying under capillary-annular electrode configuration by the particle dynamic analyzer （PDA）, water was applied to observe the spraying modes of electrostatic atomization. The electrostatic spraying showed dropping mode when charging voltage on the electrode was less than 5 kV. When charging voltage was greater than 25 kV, the electrostatic spraying showed multi-jet mode. Tailor cone jet mode was found when charging voltage increased from 5 kV to 25kV and the droplet diameter distribution showed bimodal characteristics obviously when charging voltage was between 15 kV and 25 kV. Then, one probability density function with bimodal shape was introduced to found the statistics model to describe this bimodal distribution characteristic. Finally, compared with the experimental data, both errors and their reasons were discussed. The results show that increasing electric field force can obviously reduce the probability of bigger droplets and simultaneously increase the probability of smaller droplets; all the maximum error ratios of the statistics model are less than 15%, which always appear at the vales between two peaks under each charging voltage variation, and the major influence on the errors is always induced by the coupling electric field force which increases with the higher charging voltage. While it is impossible to strictly deduce the theoretical model of probability density function with bimodal shape of droplets distribution of electrostatic atomization currently, the above statistics model is helpful to the engineering application.