Modeling Study on Heat Transfer in Marangoni Dropwise Condensation for Ethanol-Water Mixture Vapors

Modeling Study on Heat Transfer in Marangoni Dropwise Condensation for Ethanol-Water Mixture Vapors
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乙醇-水混合物蒸气马兰戈尼滴状冷凝传热模拟研究

DOI:
10.3390/en13246726
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发表时间:
2020-12
期刊:
影响因子:
3.2
通讯作者:
Li Gen
Li Gen
中科院分区:
工程技术4区
文献类型:
--
作者:
Wang Jinshi;Ma Ziqiang;Li Yong;Liu Weiqi;Li Gen

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本文建立了一个预测Marangoni滴状冷凝传热特性的模型。根据Marangoni冷凝的特点,将冷凝看作是混合蒸汽的滴状冷凝。冷凝空间分为两部分:蒸汽扩散层和冷凝层。对于冷凝层,模拟了滴状冷凝的经典传热计算方法,得到了滴状冷凝的传热特性。对于蒸汽扩散层,通过求解守恒方程得到其传热特性。这些传热特性通过结合边界(汽液界面)耦合。将该模型应用于水-乙醇混合蒸汽的冷凝。与已有实验数据的对比表明,所建模型基本上能反映出蒸汽与表面温差、蒸汽浓度、蒸汽压力和蒸汽流速对Marangoni冷凝传热特性的影响。结果表明,计算结果与实验结果存在一定差异,但在凝结换热系数达到峰值的汽-壁温差范围内,模型预测误差可以接受。
In this paper, a model was developed to predict the heat transfer characteristics of Marangoni dropwise condensation. In accordance with the feature of Marangoni condensation, condensation was treated as dropwise condensation of mixture vapors. The condensation space was divided into two parts: the vapor diffusion layer and the condensate layer. For the condensate layer, the classical heat transfer calculation method of dropwise condensation was imitated to obtain the heat transfer characteristics. For the vapor diffusion layer, the heat transfer characteristics were achieved by solving the conservation equations. These heat transfer characteristics were coupled through the conjunct boundary, which was the vapor-liquid interface. The model was applied to the condensation of water-ethanol mixture vapors. A comparison with the existing experimental data showed that the developed model could basically reflect the influences of vapor-to-surface temperature difference, vapor concentration, vapor pressure, and vapor velocity on heat transfer characteristic of Marangoni condensation. Results showed that some differences existed between the calculation results and experimental results, but the prediction deviation of the model could be acceptable in the range of vapor-to-surface temperature difference where the condensation heat transfer coefficients reached peak values.
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