汽车发动机冷却中过冷流沸腾热流密度的改进估计

Sudharsan Vasudevan, S. Etemad, L. Davidson
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引用次数: 1

摘要

开发过冷流动沸腾的潜力是提高现代内燃机高比功率冷却性能的关键策略。沸腾热流密度的准确预测是采用这种策略和避免进入危险的膜沸腾状态的先决条件。沸腾现象的复杂性使得很难建立一个能解释所有主要机制的模型。然而,文献中可用的沸腾模型在其适用范围内提供了很好的热通量估计。这项工作试图引入一种基于气泡成核概率的混合,以混合针对不同沸腾状态开发的两种不同模型。与实验结果的验证表明,沸腾热流密度的估计得到了改进。
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Improved Estimation of Subcooled Flow Boiling Heat Flux for Automotive Engine Cooling Applications
Tapping the potential of subcooled flow boiling can be the key strategy for enhanced cooling of modern day internal combustion engines with high specific power. Accurate prediction of the boiling heat flux is a prerequisite for employing such strategy and to avoid stepping into the dangerous film boiling regime. The complexity involved in the boiling phenomena makes it difficult to develop a model that accounts for all the dominant mechanisms. However, boiling models available in literature provide a good estimate of the heat flux within their range of applicability. This work attempts to introduce a blending based on probability of bubble nucleation to blend two different models developed for different boiling regimes. Corroboration of results with experiments show improved estimation of boiling heat flux.
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