Investigation of the characteristics of particulate flows through fibrous filters using the lattice Boltzmann method

被引:21
|
作者
Rabiee, Marzie Babaie [1 ]
Talebi, Shahram [1 ]
Abouali, Omid [2 ]
Izadpanah, Ehsan [3 ]
机构
[1] Yazd Univ, Dept Mech Engn, Yazd, Iran
[2] Shiraz Univ, Dept Mech Engn, Shiraz, Iran
[3] Persian Gulf Univ, Dept Mech Engn, Bushehr, Iran
来源
PARTICUOLOGY | 2015年 / 21卷
关键词
Fibrous filter; Pressure drop factor; Capture efficiency; Lattice Boltzmann method; Random geometry; Ordered geometry; AEROSOL FILTRATION; VISCOUS-FLOW; PERMEABILITY; SIMULATIONS; COLLECTION; PRESSURE;
D O I
10.1016/j.partic.2014.11.010
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
A fibrous filter is one of the most common systems used to separate suspended particles from air. Two important factors (i.e., the pressure drop and capture efficiency) are usually used to evaluate the performance of this type of filter. This study considers three two-dimensional arrangements of fibers (parallel, staggered, and random) to geometrically model fibrous media. The lattice Boltzmann method is employed to numerically simulate fluid flow through the filter. The Lagrangian form of the equation of motion of a particle is numerically solved to track the path of each particle in the flow field, where a one-way interaction between the fluid and particles is considered. The effects of pertinent parameters such as the fiber arrangement, solid volume fraction, particle-to-fiber diameter ratio, particle-to-fluid density ratio, Reynolds number, Stokes number, and size of the fibrous medium on the pressure drop and capture efficiency are studied. The obtained results are compared with existing empirical and theoretical findings and discussed. (C) 2015 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:90 / 98
页数:9
相关论文
共 50 条
  • [41] The lattice Boltzmann method for nearly incompressible flows
    Lallemand, Pierre
    Luo, Li-Shi
    Krafczyk, Manfred
    Yong, Wen-An
    Journal of Computational Physics, 2021, 431
  • [42] Transitional flows with the entropic lattice Boltzmann method
    Dorschner, B.
    Chikatamarla, S. S.
    Karlin, I. V.
    JOURNAL OF FLUID MECHANICS, 2017, 824 : 388 - 412
  • [43] Lattice Boltzmann method for axisymmetric turbulent flows
    Wang, Wei
    Zhou, Jian Guo
    INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2015, 26 (09):
  • [44] A rectangular lattice Boltzmann method for groundwater flows
    Zhou, Jian Guo
    MODERN PHYSICS LETTERS B, 2007, 21 (09): : 531 - 542
  • [45] A lattice Boltzmann method for axisymmetric thermocapillary flows
    Liu, Haihu
    Wu, Lei
    Ba, Yan
    Xi, Guang
    INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2017, 104 : 337 - 350
  • [46] Lattice-Boltzmann Method for Complex Flows
    Aidun, Cyrus K.
    Clausen, Jonathan R.
    ANNUAL REVIEW OF FLUID MECHANICS, 2010, 42 : 439 - 472
  • [47] Simulation of Thrombus Formation in Shear Flows Using Lattice Boltzmann Method
    Tamagawa, Masaaki
    Kaneda, Hiroaki
    Hiramoto, Miki
    Nagahama, Sho
    ARTIFICIAL ORGANS, 2009, 33 (08) : 604 - 610
  • [48] Investigation on permeability of shale matrix using the lattice Boltzmann method
    Ren, Junjie
    Guo, Ping
    Peng, Song
    Yang, Cuiping
    JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2016, 29 : 169 - 175
  • [49] Lattice Boltzmann method for particulate multiphase flow system
    Li, Qiangqiang
    Yang, Guang
    Huang, Yunfan
    Lu, Xukang
    Min, Jingchun
    Wang, Moran
    INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2024, 273
  • [50] Numerical investigation on effective thermal conductivity of fibrous porous medium under vacuum using Lattice-Boltzmann method
    Lu, Jiaxi
    Kan, Ankang
    Zhu, Wenbing
    Yuan, Yebaihe
    INTERNATIONAL JOURNAL OF THERMAL SCIENCES, 2021, 160