Universal approach to predicting two-phase frictional pressure drop for mini/micro-channel saturated flow boiling
Universal approach to predicting two-phase frictional pressure drop for mini/micro-channel saturated flow boiling
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DOI：
10.1016/j.ijheatmasstransfer.2012.11.045
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发表时间：
2013-03
影响因子：
5.2
通讯作者：
Sung-Min Kim;I. Mudawar
中科院分区：
文献类型：
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作者：
Sung-Min Kim;I. Mudawar
这篇论文是作者最近的一系列研究的一部分，目的是开发微型/微通道流动的压降和换热系数的通用预测工具，这些工具能够处理具有截然不同的热物理性质和非常宽的所有几何参数和流动参数范围的流体。在本研究中，提出了一种预测饱和流动沸腾摩擦压力梯度的新方法。为了开发和验证这项新技术，从16个来源收集了一个由2378个数据点组成的综合数据库。该数据库包括9种工作流体，水力直径从0.349到5.35 mm，质量速度从33到2738 kg/m2，纯液体雷诺数从156到28,010，质量从0到1，减压从0.005到0.78，以及单通道和多通道数据。仔细研究了以前的许多模型和关联，发现非沸腾(绝热和冷凝)和沸腾微通道流动之间的摩擦压力梯度预测明显不同，这是由于流动结构的差异，特别是液滴夹带效应造成的。对作者先前开发的用于非沸腾小/微通道流动的分离流技术进行了修改，以考虑这些差异。这项新技术显示了对整个综合数据库的非常好的预测，总体MAE为17.2%，甚至对不同工质的预测精度，以及对水力直径、质量速度、质量和压力的广泛范围，以及对单个和多个微/微通道。
This paper is a part of a recent series of studies by the authors to develop universal predictive tools for pressure drop and heat transfer coefficient for mini/micro-channel flows that are capable of tackling fluids with drastically different thermophysical properties and very broad ranges of all geometrical and flow parameters of practical interest. In this study, a new technique is proposed to predict the frictional pressure gradient for saturated flow boiling. To both develop and validate the new technique, a consolidated database consisting of 2378 data points is amassed from 16 sources. The database consists of 9 working fluids, hydraulic diameters from 0.349 to 5.35mm, mass velocities from 33 to 2738kg/m2s, liquid-only Reynolds numbers from 156 to 28,010, qualities from 0 to 1, reduced pressures from 0.005 to 0.78, and both single-channel and multi-channel data. Careful examination of many prior models and correlations shows clear differences in frictional pressure gradient predictions between non-boiling (adiabatic and condensing) versus boiling mini/micro-channel flows that are caused by differences in flow structure, especially droplet entrainment effects. A separated flow technique previously developed by the authors for non-boiling mini/micro-channel flows is modified to account for these differences. The new technique shows very good predictions of the entire consolidated database, evidenced by an overall MAE of 17.2% and even predictive accuracy for different working fluids, and over broad ranges of hydraulic diameter, mass velocity, quality and pressure, and for both single and multiple mini/micro-channels.