A stochastic formulation for the drag force based on multiscale numerical simulation of fluidized beds

被引:50
作者
Esteghamatian, Amir [2 ,3 ]
Euzenat, Florian [1 ]
Hammouti, Abdelkader [1 ]
Lance, Michel [4 ]
Wachs, Anthony [2 ,3 ]
机构
[1] IFP Energies Nouvelles, Fluid Mech Dept, BP 3, F-69360 Solaize, France
[2] Univ British Columbia, Dept Math, 1984 Math Rd, Vancouver, BC V6T 1Z4, Canada
[3] Univ British Columbia, Dept Chem & Biol Engn, 2360 East Mall, Vancouver, BC V6T 1Z4, Canada
[4] Ecole Cent Lyon, LMFA, 36 Ave Guy de Collongue, F-69134 Ecully, France
关键词
Multi-scale simulation; Fluidized bed; Stochastic drag law; Discrete element method; Fictitious domain method; Euler/lagrange method; TURBULENT FLOWS; PARTICLE; SPHERES; NUMBER; MODEL; SYSTEMS; ARRAYS; DYNAMICS; DILUTE; MOTION;
D O I
10.1016/j.ijmultiphaseflow.2017.11.003
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
In Esteghamarian. A., Remand, M., Lance, M., Hommouti, A. and Wachs, A., 2017, Micro/meso simulation of a fluidized bed in a homogeneous bubbling regime. international Journal of Multiphase Flow, 92, 93-111, we performed a one-to-one comparison of micro-scale Particle-Resolved Simulation (PRS) results and mesa-scale two-way coupled Euler-Lagrange (a. k. a. DEM-CFD for Discrete Element Method-Computational Fluid Dynamics) simulation results in a homogeneous bi-periodic liquid/solid fluidized bed. These data showed an acceptable agreement between micro- and meso-scale predictions for integral measures as, e.g., pressure drop and bed height. However, particles fluctuations are markedly underpredicted in DEM-CFD simulations. especially in the direction transverse to the main flow. The filtered DEM-CFD porosity appears to be a coarse descriptor of the local microstructure and hence is the primary reason for the inability of the meso-scale DEM-CFD model to fully recover the actual features of the flow. In this paper, we explore two different directions in improving the meso-scale model: (a) we adopt an improved inter-phase coupling scheme and (b) we introduce a stochastic formulation for the drag law derived from our PRS results. The new stochastic drag law, which incorporates information on the first and second-order moments of PRS results, shows promises to recover the appropriate level of particles fluctuations. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:363 / 382
页数:20
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