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垂直管环状流场中液滴夹带率预测新模型
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Abstract:
液滴夹带率是认识环状流典型特征的重要参数之一，对其准确预测对于揭示环状流场中液膜厚度、液体携带形式，以及计算压降梯度均具有重要意义。现有液滴夹带率预测方法以经验公式为主，通过实验数据拟合得到，其适用条件有限。本章收集了更宽泛的液体种类、液流速、气流速、实验压力、管径的实验数据共785组，在其基础之上建立了环状流液滴夹带率预测了新模型，该模型是对Cioncolini和Thome (2012)所建关系式形式的发展。新模型考虑了气流速、液流速、压力、气体密度、气体粘度和管径的影响。新模型与现有14个模型相比，准确性更高，适用的参数范围更宽。
Droplet entrainment rate is one of the important parameters to understand the typical characteris-tics of annular flow, and its accurate prediction is of great significance to reveal the thickness of liq-uid film, the form of liquid carriage and the calculation of pressure drop gradient in annular flow field. The existing prediction methods of droplet entrained rate are mainly based on empirical for-mulas, which are obtained by fitting experimental data, and their application conditions are lim-ited. In this chapter, 785 sets of experimental data on a wider range of liquid types, liquid flow rate, gas flow rate, experimental pressure and pipe diameter were collected, on which a new model for predicting droplet entrainment rate of annular flow was established. This model is an evolution of the form of the relationships established by Cioncolini and Thome (2012). The new model takes into account the effects of gas flow rate, liquid flow rate, pressure, gas density, gas viscosity and pipe diameter. Compared with the existing 14 models, the new model has higher accuracy and wider range of applicable parameters.
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