• DocumentCode
    146616
  • Title

    Phase Distribution Parameter Prediction Using Logistic Model in the Analysis of Two-Phase Flow

  • Author

    Ping Lv ; Han Wang ; Hui Wang

  • Author_Institution
    State Nucl. Power Technol. R&D Centre, State Nucl. Power Res. Inst., Beijing, China
  • fYear
    2014
  • fDate
    23-25 Sept. 2014
  • Firstpage
    23
  • Lastpage
    30
  • Abstract
    In the study of fluid dynamics, experimental study, theoretical analysis and mathematical numeric calculation are the three basic means to solve the problem. Due to the complexity of fluid motion mechanism, the theoretical exact solution is limited to only a few simple situations. This paper is based on the review of the previous studies, focused on the phase distribution parameter and through mathematical modeling of the phase distribution parameter, obtains a general equation for phase distribution parameter. Under some certain given conditions, the parameter should be divided into horizontal and vertical directions for detailed analysis. Then through the application of the logistic model, we concluded that there is a theoretical function that coincides with the empirical phase distribution parameter formula as a function of Froude number. From this basis, a more sophistical model is further developed on the use of the principle of similar analysis and numerically proved that there is a stronger correlation. Our work will also provide theoretical support for computational fluid dynamics application on the two-phase flow stability.
  • Keywords
    computational fluid dynamics; two-phase flow; Froude number function; computational fluid dynamics; fluid motion mechanism; horizontal directions; logistic model; mathematical modeling; mathematical numeric calculation; phase distribution parameter prediction; theoretical exact solution; two-phase flow analysis; two-phase flow stability; vertical directions; Analytical models; Boundary conditions; Differential equations; Equations; Logistics; Mathematical model; Numerical models; Froude number; logistic model; phase distribution parameter; two phase flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded Multicore/Manycore SoCs (MCSoc), 2014 IEEE 8th International Symposium on
  • Conference_Location
    Aizu-Wakamatsu
  • Type

    conf

  • DOI
    10.1109/MCSoC.2014.13
  • Filename
    6949449