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首页> 外文期刊>International Journal of Heat and Mass Transfer >Predicting the growth of many droplets during vapor-diffusion-driven dropwise condensation experiments using the point sink superposition method
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Predicting the growth of many droplets during vapor-diffusion-driven dropwise condensation experiments using the point sink superposition method

机译：使用点汇叠加法预测在蒸汽扩散驱动的逐滴冷凝实验中许多液滴的生长

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摘要

Water vapor present in humid air will condense in the form of many small droplets on a cooled substrate. After nucleation, the diffusion of vapor from the environment to the droplets dominates their growth by condensation, and therefore, all droplets must compete for the vapor available in the surroundings. Models that assume droplets grow in isolation or as an equivalent film poorly capture their interaction during vapor-diffusion-driven condensation and do not correspond with experimental condensation rates. By treating the droplets as point sinks, the interaction between all droplets in a system can be captured by superposing the vapor distributions of each droplet. This paper presents direct comparisons of condensation rates measured in experiments and predicted with a point sink superposition method. The results indicate that it is critical to consider a large number of interacting droplets to accurately predict the condensation behavior. Even though the intensity of the interaction between droplets decreases sharply with their separation distance, droplets located relatively far away from a given droplet must be considered to accurately predict its condensation rate, due to the large aggregate effect of all such far away droplets. By considering an appropriate number of interacting droplets in a system, the point sink superposition method is able to predict experimental condensation rates to within 5%. (C) 2018 Elsevier Ltd. All rights reserved.
机译：湿空气中存在的水蒸气将以许多小液滴的形式冷凝在冷却的基材上。成核后，蒸气从环境向液滴的扩散控制了凝结，从而控制了液滴的生长，因此，所有液滴都必须与周围环境中可用的蒸气竞争。假设液滴孤立地生长或作为等效膜生长的模型在蒸汽扩散驱动的凝结过程中很难捕获其相互作用，并且与实验的凝结速率不符。通过将液滴视为点汇，可以通过叠加每个液滴的蒸汽分布来捕获系统中所有液滴之间的相互作用。本文介绍了在实验中测得的凝结速率的直接比较，并采用点汇叠加法进行了预测。结果表明，考虑大量相互作用的液滴以准确预测冷凝行为至关重要。即使液滴之间相互作用的强度随其分离距离而急剧下降，由于所有这样的较远液滴的聚集效应较大，因此必须考虑相对远离给定液滴的液滴才能准确预测其凝结率。通过考虑系统中适当数量的相互作用液滴，点汇叠加方法能够将实验凝结率预测在5％以内。 （C）2018 Elsevier Ltd.保留所有权利。

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