Prediction of minimum spouting velocity by CFD–TFM: Approach development

Authors

  • Xuejiao Liu,

    1. Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing, Jiangsu, P.R. China
    Search for more papers by this author
  • Yingjuan Shao,

    1. Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing, Jiangsu, P.R. China
    Search for more papers by this author
  • Wenqi Zhong,

    Corresponding author
    • Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing, Jiangsu, P.R. China
    Search for more papers by this author
  • John R. Grace,

    1. Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, BC, Canada
    Search for more papers by this author
  • Norman Epstein,

    1. Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, BC, Canada
    Search for more papers by this author
  • Baosheng Jin

    1. Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing, Jiangsu, P.R. China
    Search for more papers by this author

Author to whom correspondence may be addressed.

E-mail address: wqzhong@seu.edu.cn

Abstract

A three-dimensional (3D) Eulerian–Eulerian multiphase model (two-fluid model, TFM) was developed to predict the minimum spouting velocity (ums) of spouted beds, with the aid of UBC experiments in a 152-mm conical–cylindrical vessel. The gas motion was simulated by the kϵ two-equation turbulent model, while the particle phase motion was estimated from the kinetic theory of granular flow. The inlet minimum spouting velocity, ums, was numerically predicted by visual observations and analysis of simulated distributions of the solid volume fraction and particle vector field for decreasing gas flow. The effects of particle diameter, static bed height and fluid inlet diameter on ums were checked, in order to confirm the validity of the present developed method. In addition, numerical predictions are compared with the predicted values from several empirical correlations reported in the open literature. Best congruence is with the popular Mathur–Gishler equation.

Ancillary