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首页> 外文期刊>International Journal of Heat and Mass Transfer >Flow-pattern-based correlations for pressure drop during flow boiling of ethanol-water mixtures in a microchannel
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Flow-pattern-based correlations for pressure drop during flow boiling of ethanol-water mixtures in a microchannel

机译:基于流模式的微通道中乙醇-水混合物沸腾过程中压降的相关性

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摘要

This paper constitutes an experimental investigation into the pressure drop during flow boiling of etha-nol-water mixtures in a diverging microchannel with artificial cavities. Similar to boiling curves, the experimental results reveal that the single-phase and boiling two-phase flow pressure drops are significantly influenced by the molar fraction. The single-phase pressure drop for water demonstrates the smallest as the water viscosity is smaller than that of ethanol-water mixtures. During flow boiling, in general, two-phase flow pressure drop at a given wall superheat for the mixture with molar fraction of 0.1 is the highest, due to the higher boiling heat flux resulted from the Marangoni effect. Based on the correlation development of boiling heat transfer coefficient in the previous study, two flow-pattern-based empirical correlations for the two-phase frictional pressure drop are proposed in the terms of non-dimensional parameters, such as boiling number, Weber number, and Marangoni number. The proposed correlations are similar to the empirical correlation for boiling heat transfer coefficient with different numerical values of the coefficients and exponents. Different values of flow-pattern-based constant are obtained for different flow patterns. The constants for annular flow and liquid film breakup are the same. It may be due to the major mechanism of the two-phase flow is liquid film evaporation for these two flow types. The overall mean absolute errors of the proposed correlations are 13.7% and 11.6%, respectively. More than 90% of the experimental data can be predicted within a ±25% error band. Such an excellent agreement confirms that the proposed correlations may predict the Marangoni effect on the two-phase flow pressure drop during flow boiling of binary mixtures in a microchannel.
机译:本文构成了在具有人工空腔的发散微通道中,乙醇-水-乙醇混合物流动沸腾过程中压降的实验研究。与沸腾曲线相似,实验结果表明,摩尔分数对单相和沸腾两相流压降有显着影响。由于水的粘度小于乙醇-水混合物的粘度,因此水的单相压降最小。通常,在沸腾过程中,摩尔分数为0.1的混合物在给定壁过热条件下的两相流压降最高,这是由于Marangoni效应导致沸腾热通量更高。基于先前研究中沸腾传热系数的相关性发展,根据沸腾数,Weber数,和Marangoni号。所提出的相关性类似于沸腾传热系数的经验相关性,具有不同的系数和指数数值。对于不同的流型,将获得基于流型的常数的不同值。环形流动和液膜破裂的常数是相同的。可能由于两相流的主要机理是这两种流类型的液膜蒸发。所提出的相关性的整体平均绝对误差分别为13.7%和11.6%。可以在±25%的误差范围内预测超过90%的实验数据。如此出色的协议证实了所提出的相关性可以预测在微通道中二元混合物流沸腾过程中,马兰戈尼对两相流压降的影响。

著录项

  • 来源
    《International Journal of Heat and Mass Transfer 》 |2013年第6期| 332-339| 共8页
  • 作者单位

    Department of Engineering and System Science, National Tsing Hua University, Hsinchu 30013, Taiwan, ROC;

    Department of Engineering and System Science, National Tsing Hua University, Hsinchu 30013, Taiwan, ROC;

    Department of Engineering and System Science, National Tsing Hua University, Hsinchu 30013, Taiwan, ROC,Institute of Nuclear Engineering and Science, National Tsing Hua University, Hsinchu 30013, Taiwan, ROC,Low Carbon Energy Research Center, National Tsing Hua University, Hsinchu 30013, Taiwan, ROC;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Flow-pattern-based correlation; Pressure drop; Flow boiling; Mixtures;

    机译:基于流模式的关联;压力下降;流沸腾;混合物;

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