Simulation of Particle-laden Turbulent Flow in OpenFOAM

被引:0
|
作者
Jaiswal, Atul [1 ]
Minh Duc Bui [1 ]
Rutschmann, Peter [1 ]
机构
[1] Tech Univ Munich TUM, Munich, Germany
关键词
Particle-laden turbulent flow; RANS-DEM; Dispersion model; OpenFOAM;
D O I
10.3850/IAHR-39WC2521716X20221242
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Our work attempts to provide a comprehensive analysis of modelling two-phase flows (fluid-particle) with regard to computational requirements, available models, challenges and limitations. The adopted case (particle-laden backward facing step (BFS) flow) is numerically simulated in the framework of Eulerian-Lanrangian method (RANS-DEM) using OpenFOAM. Firstly, the case was simulated as single-phase (fluid without particles) using solver pimpleFOAM in order to define the simulation parameters and the meshing requirement, giving good agreement with the measured fluid velocity profiles in the experiment. Later on, the case was modified as a two-phase system by including the particles and simulated using two similar yet different solvers namely DPMFoam (standard OpenFOAM solver) and pimpleLPTFoam (self-compiled solver). The simulation results obtained from these two solvers demonstrate almost no difference due to small concentration of particles, indicating that one can save significant computational resources by not considering void fraction in the governing fluid flow equations. Investigation on the coupling regime demonstrates almost no difference in predicted fluid and particle velocity profiles corresponding 1-way and 2-way coupling, as the small number of particles in each CFD cell are unable to modify flow fields significantly. Analysis on different initial velocities of particles shows that by proving zero initial velocity to the particles, they get the opportunity to attain the real velocity depending upon the flow around them and the particle response time (Stokes number). Our study shows that RANS-DEM with simple dispersion models is unable to predict the particle dispersion correctly, thus more sophisticated dispersion models are required.
引用
收藏
页码:4328 / 4335
页数:8
相关论文
共 50 条
  • [1] Numerical simulation of particle-laden turbulent channel flow
    Li, YM
    McLaughlin, JB
    Kontomaris, K
    Portela, L
    PHYSICS OF FLUIDS, 2001, 13 (10) : 2957 - 2967
  • [2] Large eddy simulation of particle-laden turbulent channel flow
    Wang, QZ
    Squires, KD
    PHYSICS OF FLUIDS, 1996, 8 (05) : 1207 - 1223
  • [3] Lattice Boltzmann simulation of particle-laden turbulent channel flow
    Wang, Lian-Ping
    Peng, Cheng
    Guo, Zhaoli
    Yu, Zhaosheng
    COMPUTERS & FLUIDS, 2016, 124 : 226 - 236
  • [4] Large-eddy simulation of a particle-laden turbulent channel flow
    Vreman, A. W.
    Geurts, J.
    Deen, N. G.
    Kuipers, J. A. M.
    DIRECT AND LARGE-EDDY SIMULATION V, PROCEEDINGS, 2004, 9 : 271 - 278
  • [5] A stochastic model for large eddy simulation of a particle-laden turbulent flow
    Gobert, Christian
    Motzet, Katrin
    Manhart, Michael
    PARTICLE-LADEN FLOW: FROM GEOPHYSICAL TO KOLMOGOROV SCALES, 2007, 11 : 345 - +
  • [6] Direct numerical simulation of particle-laden rotating turbulent channel flow
    Pan, YK
    Tanaka, T
    Tsuji, Y
    PHYSICS OF FLUIDS, 2001, 13 (08) : 2320 - 2337
  • [7] Numerical simulation data for assessment of particle-laden turbulent flow models
    Sengupta, K
    Russell, K
    Minkowycz, WJ
    Mashayek, F
    INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2005, 48 (15) : 3035 - 3046
  • [8] A numerical simulation of the passive heat transfer in a particle-laden turbulent flow
    Jaszczur, Marek
    DIRECT AND LARGE-EDDY SIMULATION VIII, 2011, 15 : 195 - 200
  • [9] The simulation of turbulent particle-laden channel flow by the Lattice Boltzmann method
    Banari, Amir
    Mauzole, Yackar
    Hara, Tetsu
    Grilli, Stephan T.
    Janssen, Christian F.
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, 2015, 79 (10) : 491 - 513
  • [10] Large Eddy Simulation of Particle-laden Turbulent Flow in Sedimentary Pipe
    Yao, Jun
    Liu, Min
    Zhao, Yanlin
    Kung Cheng Je Wu Li Hsueh Pao/Journal of Engineering Thermophysics, 2024, 45 (05): : 1411 - 1417