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Comparison of models to predict the collection efficiency of an axial cyclone with a spindle vane
Journal of Aerosol Science ( IF 4.5 ) Pub Date : 2021-05-25 , DOI: 10.1016/j.jaerosci.2021.105817
Shuo Zhang , Minsang Shin , Weon Gyu Shin

An axial cyclone separator with a spindle vane has the advantages of low pressure drop and high collection efficiency. Collection efficiency is an important parameter for assessing the performance of a cyclone separator. Previous studies have shown that as the number of turns of a spindle vane increases or the pitch of the spindle vane decreases, the collection efficiency of the axial cyclone separator increases. There are two models for predicting the collection efficiency of an axial flow cyclone. One model by Hsiao et al. (2011) can predict the collection efficiency if the primary dimensions and inlet flow conditions of the cyclone are given. But the other model by Hsu et al. (2005) additionally requires a fitting constant to determine the collection efficiency. Because the accuracy of the model of Hsu et al. (2005) is limited by the fitting constant, it is necessary to find a fitting constant systematically. In the present study, we developed a method to determine the fitting constant for the model of Hsu et al. (2005) through experimental, numerical, and analytical investigation. It was found that the fitting constant is the function of flow transit time in the vane section. Finally, we compared the two existing prediction models with each other. Both model predictions agreed well with the experimental data.



中文翻译:

带有主轴叶片的轴向旋流器收集效率预测模型的比较

带有主轴叶片的轴向旋风分离器具有压降低、收集效率高的优点。收集效率是评估旋风分离器性能的重要参数。以往的研究表明,随着主轴叶片的圈数增加或主轴叶片的螺距减小,轴向旋风分离器的收集效率增加。有两种模型可用于预测轴流式旋流器的收集效率。Hsiao 等人的一个模型。(2011) 如果给定旋流器的主要尺寸和入口流动条件,则可以预测收集效率。但是 Hsu 等人的另一个模型。(2005) 还需要一个拟合常数来确定收集效率。因为 Hsu 等人的模型的准确性。(2005) 受拟合常数的限制,需要系统地找到一个拟合常数。在本研究中,我们开发了一种方法来确定 Hsu 等人的模型的拟合常数。(2005) 通过实验、数值和分析研究。发现拟合常数是叶片截面中流动通过时间的函数。最后,我们将两个现有的预测模型相互比较。两种模型预测都与实验数据吻合良好。我们将两个现有的预测模型相互比较。两种模型预测都与实验数据吻合良好。我们将两个现有的预测模型相互比较。两种模型预测都与实验数据吻合良好。

更新日期:2021-06-05
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