Numerical simulations of particle-laden jet/spout flows using Eulerian-Lagrangian approach

被引:4
|
作者
Iqbal, Naveed [1 ]
Rauh, Cornelia [1 ]
Delgado, Antonio [1 ]
机构
[1] Friedrich Alexander Univ Erlangen Nuremberg, Inst Fluid Mech, Cauerstr 4, D-91058 Erlangen, Germany
关键词
Fluidization; computational fluid dynamics (CFD); discrete element model (DEM); Spout-Fluid; DISCRETE; FLUIDIZATION; MODEL; BEDS;
D O I
10.1016/j.proeng.2015.01.207
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Discrete Element Method (DEM) had been successfully coupled with Computational Fluid Dynamics (CFD) in the framework of OpenFOAM; an open source CFD simulation code. It is used to simulate particle laden flows using Eulerian approach for continuum phase and Lagrangian approach for solid phase. This numerical model is validated with simple test cases of spherical particle comparing the results with the analytical solution and is reported in earlier work. In current study, results of numerical simulation of spout-fluid bed are compared against experimental and simulation results reported in literature. The pressure drop fluctuations and isosurface plots of solid volume fraction show a good qualitative prediction of different flow regimes. The particle velocity profiles in the vertical direction for different test cases are plotted and compared with the literature data. The comparison of results shows a good quantitative behavior of the model predictions. (C) 2015 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:867 / 876
页数:10
相关论文
共 50 条
  • [21] Assessment of numerical methods for fully resolved simulations of particle-laden turbulent flows
    de Motta, J. C. Brandle
    Costa, P.
    Derksen, J. J.
    Peng, C.
    Wang, L-P
    Breugem, W-P
    Estivalezes, J. L.
    Vincent, S.
    Climent, E.
    Fede, P.
    Barbaresco, P.
    Renon, N.
    COMPUTERS & FLUIDS, 2019, 179 : 1 - 14
  • [22] Eulerian-Lagrangian simulation of pulverized biomass jet using spheroidal particle approximation
    Guo, Ning
    Li, Tian
    Zhao, Lihao
    Lovas, Terese
    FUEL, 2019, 239 : 636 - 651
  • [23] Understanding of turbulence modulation and particle response in a particle-laden jet from direct numerical simulations
    Zhou, Hua
    Hawkes, Evatt R.
    Lau, Timothy C. W.
    Chin, Rey
    Nathan, Graham J.
    Wang, Haiou
    JOURNAL OF FLUID MECHANICS, 2022, 950
  • [24] Numerical formulation on two phase turbulence using Eulerian-Lagrangian approach
    Kuo, TC
    Yang, AS
    Chieng, CC
    TURBULENCE, HEAT AND MASS TRANSFER 2, 1997, : 817 - 822
  • [25] Evaluation of the Eulerian and Lagrangian approaches to model the dispersed phase in non-uniform turbulent particle-laden flows
    Lain, Santiago
    INGENIERIA Y COMPETITIVIDAD, 2008, 10 (01): : 9 - 20
  • [26] Particle dispersion model for RANS simulations of particle-laden jet flows, incorporating Stokes number effects
    Zhang, Xinchen
    Tian, Zhao F.
    Chinnici, Alfonso
    Zhou, Hua
    Nathan, Graham J.
    Chin, Rey C.
    ADVANCED POWDER TECHNOLOGY, 2024, 35 (03)
  • [27] Numerical investigation of nanofluid particle migration and convective heat transfer in microchannels using an Eulerian-Lagrangian approach
    Sharaf, Omar Z.
    Al-Khateeb, Ashraf N.
    Kyritsis, Dimitrios C.
    Abu-Nada, Eiyad
    JOURNAL OF FLUID MECHANICS, 2019, 878 : 62 - 97
  • [28] Eulerian approach for erosion induced by particle-laden impinging jets
    Loyevsky, Amir
    Immer, Ido
    Dagan, Yuval
    INTERNATIONAL JOURNAL OF MULTIPHASE FLOW, 2024, 181
  • [29] Uncertainty quantification in numerical simulation of particle-laden flows
    Gabriel M. Guerra
    Souleymane Zio
    Jose J. Camata
    Jonas Dias
    Renato N. Elias
    Marta Mattoso
    Paulo L. B. Paraizo
    Alvaro L. G. A. Coutinho
    Fernando A. Rochinha
    Computational Geosciences, 2016, 20 : 265 - 281
  • [30] Uncertainty quantification in numerical simulation of particle-laden flows
    Guerra, Gabriel M.
    Zio, Souleymane
    Camata, Jose J.
    Dias, Jonas
    Elias, Renato N.
    Mattoso, Marta
    Paraizo, Paulo L. B.
    Coutinho, Alvaro L. G. A.
    Rochinha, Fernando A.
    COMPUTATIONAL GEOSCIENCES, 2016, 20 (01) : 265 - 281