• Title of article

    Hydrodynamics of gas–solid risers using cluster structure-dependent drag model

  • Author/Authors

    Shuai، نويسنده , , Wang and Guangbo، نويسنده , , Zhao and Guodong، نويسنده , , Liu and Huilin، نويسنده , , Lu and Feixiang، نويسنده , , Zhao and Tianyu، نويسنده , , Zhang، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2014
  • Pages
    14
  • From page
    214
  • To page
    227
  • Abstract
    A modified cluster structure-dependent (CSD) drag model is proposed to improve drag predictions for heterogeneous gas–solid flows in risers. A micro-meso-grid scales (M2GS) equation set consists of six hydrodynamic equations and one stability criteria with bivariate extreme value (BEV) theory as a function of eight independent variables and four dependent parameters on the basis of grid parameters. The modified CSD drag model is further verified by CFD simulations by coupling with the two-fluid model for low and high solid fluxes in risers. The simulated results in 2D domain of the riser are compared with those using the Huilin–Gidaspow drag model and experimental data. The modified CSD drag model is verified by CFD simulations by coupling with a kinetic theory of granular flow based two-fluid model for low and high solid fluxes in risers. The comparison shows that the modified CSD drag model is able to capture the axial heterogeneity with the dense bottom and dilute top sections. The radial profiles using modified CSD drag models show only qualitative agreement with the experimental data. The results using the modified CSD drag model and Huilin–Gidaspow drag model show a reasonable agreement at the center. Thus, further improvements combining with wall friction effect are required to achieve quantitative agreement with experimental data.
  • Keywords
    Fluidization , MODELING , Hydrodynamics , SIMULATION , Bivariate extreme value theory , Drag model
  • Journal title
    Powder Technology
  • Serial Year
    2014
  • Journal title
    Powder Technology
  • Record number

    1705097