Review of Enhancement Techniques With Vapor Extraction During Flow Boiling in Microchannels

D. Moreira, G. Ribatski, S. Kandlikar
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引用次数: 1

Abstract

Flow boiling heat transfer in microchannels can remove high heat loads from restricted spaces with high heat transfer coefficients and minimum temperature gradients. However, many works still report problems with instabilities, high pressure drop and early critical heat flux, which hinder its possible applications as thermal management solutions. Much comprehension on the phenomena concerning flow boiling heat transfer is still missing, therefore many investigations rely on empirical methods and parametric studies to develop novel configurations of more efficient heat sinks. Nevertheless, investigations involving vapor extraction have successfully addressed all these previously reported issues while also increasing the heat transfer of heat sinks employing flow boiling in microchannels. In this sense, the objective of this review is to identify the main techniques employed for vapor extraction in microchannels-based heat sinks and analyze the physical mechanisms underneath the observed improvements during flow boiling, such that some design guidelines can be drawn. Three main strategies can be identified: passive vapor extraction, active vapor extraction, and membrane-based vapor extraction. All these strategies were able to dissipate heatfluxes higher than 1 kW/cm2, with the best performance achieved by a membrane-based heat sink, followed by active and passive designs. According to the present experimental and numerical data available in the literature, there is still room for improvement.
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微通道流动沸腾蒸汽萃取强化技术综述
微通道内流动沸腾换热能够以高换热系数和最小温度梯度从受限空间中去除高热负荷。然而,许多工作仍然报告了不稳定性、高压降和早期临界热流密度等问题,这些问题阻碍了其作为热管理解决方案的可能应用。由于对流动沸腾传热现象的理解仍然欠缺,因此许多研究依赖于经验方法和参数研究来开发更有效的新型散热器结构。然而,涉及蒸汽萃取的研究已经成功地解决了所有这些先前报道的问题,同时也增加了利用微通道流动沸腾的散热器的传热。从这个意义上讲,本文的目的是确定基于微通道的散热器中用于蒸汽提取的主要技术,并分析在流动沸腾过程中观察到的改进的物理机制,从而可以得出一些设计指南。可以确定三种主要策略:被动蒸汽萃取、主动蒸汽萃取和基于膜的蒸汽萃取。所有这些策略都能够消散高于1 kW/cm2的热通量,其中薄膜散热器的性能最佳,其次是主动和被动设计。根据目前文献中的实验和数值数据,仍有改进的余地。
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