• Title of article

    Assessment of existing dimensionless correlations of refrigerant flow through adiabatic capillary tubes

  • Author/Authors

    Shao، نويسنده , , Liang-Liang and Wang، نويسنده , , Jiang-Cui and Jin، نويسنده , , Xiao-Chen and Zhang، نويسنده , , Chun-Lu، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2013
  • Pages
    9
  • From page
    270
  • To page
    278
  • Abstract
    As the refrigerant flow inside the capillary tubes is accompanied with phase change, non-equilibrium between two phases, and critical two-phase flow, capillary tube modeling is not as simple as its simple geometry. For the convenience of engineering applications, many investigators focused on the empirical dimensionless correlations of refrigerant flow rates through capillary tubes recently. In this paper, the dimensionless mass flow correlations of adiabatic capillary tubes in the literature are reviewed and categorized by the function forms and ways to select dimensionless parameters. Eleven dimensionless correlations are selected for further in-depth assessment on their accuracy and generality using the late experimental data from the literature. The results indicate that the model-based neural network correlations have better overall performance.
  • Keywords
    Frigorigène , Réseau neuronal , capillary , Model , neural network , Refrigerant , Capillaire , Corrélation , Correlation , Modèle
  • Journal title
    International Journal of Refrigeration
  • Serial Year
    2013
  • Journal title
    International Journal of Refrigeration
  • Record number

    1345112