Numerical Model of Condensate Water Droplet Motion on Fin Surface under Dehumidifying Conditions

Xiong Wei; Zhuang Dawei; Hu Haitao; Ding Guoliang; Xi Guannan

doi:10.3969/j.issn.0253-4339.2013.04.064

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Numerical Model of Condensate Water Droplet Motion on Fin Surface under Dehumidifying Conditions

更新时间：2024-07-18

- Numerical Model of Condensate Water Droplet Motion on Fin Surface under Dehumidifying Conditions
- Journal of Refrigeration Vol. 34, Issue 4, (2013)
- 作者机构：
  
  1. 上海交通大学制冷与低温工程研究所
  2. 南通大学机械工程学院
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0253-4339.2013.04.064
  CLC：
- Published：2013
- 稿件说明：
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Xiong Wei, Zhuang Dawei, Hu Haitao, et al. Numerical Model of Condensate Water Droplet Motion on Fin Surface under Dehumidifying Conditions[J]. Journal of refrigeration, 2013, 34(4).
DOI：

Xiong Wei, Zhuang Dawei, Hu Haitao, et al. Numerical Model of Condensate Water Droplet Motion on Fin Surface under Dehumidifying Conditions[J]. Journal of refrigeration, 2013, 34(4). DOI： 10.3969/j.issn.0253-4339.2013.04.064.

摘要

了解析湿过程中冷凝水对换热器翅片侧换热和压降的影响机制，需要首先建立湿工况下翅片表面冷凝水滴的运动模型。通过对翅片表面上冷凝水滴进行受力分析，得出了水滴运动的判断条件；建立了水滴接触角预测模型，并结合VOF界面追踪方法来描述气液相界面、计算表面张力，从而建立了预测冷凝水滴在竖直翅片表面运动过程的数值模型。通过水滴运动实验对模型的可靠性进行了验证：水滴与翅片表面接触角的模拟值与实验值的平均误差为2.11%，最大误差为2.51%；水滴运动速度的模拟值与实验值的平均误差为6.5%，最大误差为10%。结果表明：水滴运动模型能够准确的预测水滴在翅片表面的运动规律。

Abstract

In order to understand the heat transfer and pressure drop mechanisms of fin and tube heat exchanger under dehumidifying conditions

a model of condensate water droplets moving on fin surface should be established firstly. Based on the force analysis of the condensate water droplet on fin surface

a critical condition of the water droplet motion is obtained. With the surface tension is taken into account

which is defined by the contact angle and VOF method

a numerical model of condensate water droplet moving on fin surface is developed. Then an experiment is carried out to verify the numerical model. The average deviation between simulation results and experimental data for the contact angle is 2.11% and the maximum deviation is 2.51%

and the average deviation for water droplet velocity is 6.5% and the maximum deviation is 10%

which show the accuracy of the model.

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Related Institution

School of Mechanical and Automotive Engineering, South China University of Technology

上海理工大学

College of Energy & Power Engineering, Huazhong University of Science and Technology

Tianjin Key Laboratory of Refrigeration Technology, Tianjin University of commerc

College of Environmental Science and Engineering, Tianjin University

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