静电雾化过程中粒径分布的预测

    Prediction of droplet size distribution for electrostatic spray

    • 摘要: 运用信息熵方法对静电雾化过程中的雾滴尺寸分布进行了统计模拟,获得了预测粒径分布的统计模型。采用改进的Newton-Raphson算法对模型进行了数值计算,该模型可实现射流模式下的雾滴直径分布的预测。结果表明,射流模式下粒径分布较窄,最大粒径是最小粒径的2~3倍。通过与其他学者的试验数据比较表明,模型预测结果除了在较小流量情况下外,总体上与试验结果较为相符。该文的研究结果对静电雾化效果的优化及控制有一定的参考价值。

       

      Abstract: A theoretical model for predicting the droplet size distribution for electrostatic spray was described based on the information entropy method. The model was numerically calculated using the modified Newton-Raphson method. The present model can evaluate the droplet size distribution for a cone-jet mode electrostatic spray. The predicted results of present model show that the droplet size distribution exhibits a narrower and monodisperse behavior and the ratio between the largest diameter and the minimum diameter of droplets is between 2 and 3. The comparisons show that the model is in better agreement with experimental data except for the case under smaller flow rate. The research results of present work are helpful to optimization and control for the electrostatic spray process.

       

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