• Title of article

    Flow-pattern-based correlations for pressure drop during flow boiling of ethanol–water mixtures in a microchannel

  • Author/Authors

    Ben-Ran Fu، نويسنده , , Meng-Shan Tsou، نويسنده , , Chin Pan، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2013
  • Pages
    8
  • From page
    332
  • To page
    339
  • Abstract
    This paper constitutes an experimental investigation into the pressure drop during flow boiling of ethanol–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 nondimensional 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.
  • Keywords
    Finite volume method , Low-order dynamic model , Global power balance , Compact plate heat exchanger
  • Journal title
    INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
  • Serial Year
    2013
  • Journal title
    INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
  • Record number

    1078805