Multi-scale modeling of dense phase gas-particle flow

被引:146
作者
Tsuji, Yutaka [1 ]
机构
[1] Osaka Univ, Dept Mech Engn, Grad Sch Engn, Suita, Osaka 5650871, Japan
关键词
multiphase flow; mathematical modeling; numerical analysis; simulation; gas-particle flow; multi-scale modeling; dense phase flow; DEM; DSMC;
D O I
10.1016/j.ces.2006.12.090
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
First, gas-particle flows are classified based on particle-particle interaction. Next, methods of numerical analysis of gas-particle flows are classified based on the concept of length scale. That is, the methods are classified into micro-, meso- and macro-scale approaches. The scale-based classification is applied to gas-phase and particulate phase, respectively. Most of existing models of multiphase flows are categorized into one of the combination of scale-based models for gas and particles. After the classification, description focuses on the discrete particle simulation which belongs to the micro-scale approach for the particle phase. The advantage of the particle-micro approach is to deal with particle-particle interaction in the rational way. To treat the particle-to-particle interaction mathematically, techniques named DEM (Distinct Element Method) and DSMC (Direct Simulation Monte Carlo) have been developed. DEM is a powerful means for the contact-dominated flows and DSMC method for the collision-dominated flows. Combining DEM or DSMC with CFD (computer fluid dynamics), applications of the discrete particle simulation have drastically expanded into many industrial flows because both particle-to-particle and particle-to-fluid interactions have significant effects on most industrial flows. Various examples of simulations are shown; such as dense phase pneumatic conveying, spouted bed, fast circulating fluidized bed and so on. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:3410 / 3418
页数:9
相关论文
共 50 条
  • [21] LES/FDF simulation of particle dispersion in a gas-particle two phase plane wake flow
    HanHui Jin
    SuTao Chen
    LiHua Chen
    JianRen Fan
    Science in China Series E: Technological Sciences, 2009, 52 : 2943 - 2951
  • [22] Implementation of an iterative solution procedure for multi-fluid gas-particle flow models on unstructured grids
    Passalacqua, A.
    Fox, R. O.
    POWDER TECHNOLOGY, 2011, 213 (1-3) : 174 - 187
  • [23] A TWO-SCALE SECOND-ORDER MOMENT PARTICLE TURBULENCE MODEL FOR GAS-PARTICLE FLOW
    ZENG Zhuo-xiong Department of Engineering Mechanics
    Journal of Hydrodynamics, 2006, (06) : 659 - 665
  • [24] A Two-Scale Second-Order Moment Particle Turbulence Model for Gas-Particle Flow
    Zhuo-xiong Zeng
    Li-xing Zhou
    Journal of Hydrodynamics, 2006, 18 : 659 - 665
  • [25] Drift flux representation of gas-particle flow
    Matsen, JM
    POWDER TECHNOLOGY, 2000, 111 (1-2) : 25 - 33
  • [26] A scale-independent modeling method for filtered drag in fluidized gas-particle flows
    Jiang, Ming
    Zhang, Yu
    Yu, Yaxiong
    Zhou, Qiang
    POWDER TECHNOLOGY, 2021, 394 : 1050 - 1076
  • [27] CFD-PBM modeling of gas-particle reactive flow and particle aggregation in the flash smelting furnace
    Zhu, Zhenyu
    Zhou, Ping
    Tan, Wenke
    Chen, Zhuo
    Kuang, Shibo
    INTERNATIONAL JOURNAL OF MULTIPHASE FLOW, 2025, 188
  • [28] A TWO-SCALE SECOND-ORDER MOMENT PARTICLE TURBULENCE MODEL FOR GAS-PARTICLE FLOW
    Zeng Zhuo-xiong
    Zhou Li-xing
    JOURNAL OF HYDRODYNAMICS, 2006, 18 (06) : 659 - 665
  • [29] Multi-scale modeling and nodal control for gas transportation networks
    Herty, Michael
    2015 54TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2015, : 4585 - 4590
  • [30] Multi-scale modeling of flow resistance in granular porous media
    Sobieski, Wojciech
    Zhang, Qiang
    MATHEMATICS AND COMPUTERS IN SIMULATION, 2017, 132 : 159 - 171