Cited by 48Particle Dynamics in Fluid FlowsAerosol Filtration and Electrostatic PrecipitationElectrohydrodynamics and Fluid Dynamics

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Discrete‐element method for particle capture by a body in an electrostatic field

Liu, G., Marshall, J. S., Li, S. Q., Yao, Q.·2010·International Journal for Numerical Methods in Engineering

Abstract

A discrete‐element method is developed for applications involving interaction of spherical particles with a body of arbitrary shape in an electrostatic field. The electric field is induced both by charged particles and by other ‘macroscopic’ bodies (e.g. electrodes). The electric field due to macroscopic bodies is computed using a boundary‐element method that accounts for the particle influence. An algorithm using approximate particle images is introduced to improve electric field resolution for particles lying close to the body surface. The long‐range electric field induced by particles is computed using an optimized, adaptive multipole expansion method. The method is applied to the formation of chain‐like particle aggregates, with long‐range particle attraction governed by the electric field and particle adhesion by van der Waals forces. The method is illustrated by simulation of the capture of uncharged particles on a cylindrical electrode. A local panel subdivision method is developed to mitigate particle drift toward panel edges induced by panel discretization errors. The particle deposition pattern at different cylinder surface charge levels is studied, which shows that long straight particle chains are formed under strong electric fields. The predicted particle capture efficiency agrees well with the experimental data. Copyright © 2010 John Wiley & Sons, Ltd.

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  • The discrete element method (DEM) has proven to be a powerful numerical tool to include interparticle forces by tracking individual particles at each time step.

    “The discrete element method (DEM) originally developed by Cundall and Strack (1979) has proven to be a powerful numerical tool to include interparticle forces by tracking individual particles at each time step (Liu et al., 2010).”

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Metadata

Authors
Liu, G., Marshall, J. S., Li, S. Q., & Yao, Q.
Affiliations
  • University of Vermont (US)
  • Tsinghua University (CN)
Corresponding author
Marshall, J. S.
Venue
International Journal for Numerical Methods in Engineering
Publisher
Wiley
Published
2010-11-26
Volume
84
Issue
13
Pages
1589-1612
ISSN
  • 0029-5981 (ISSN-L)
  • 1097-0207
OpenAlex
W2100771949
Cited by
48
References
46
Citations by year
2026: 1 · 2025: 3 · 2024: 1 · 2023: 5 · 2022: 9 · 2021: 3 · 2019: 2 · 2018: 5 · 2017: 3 · 2016: 4 · 2015: 2 · 2014: 6 · 2013: 2
FWCI
2.79
Type
journal article
Language
en
Open access
closed
Locations
International Journal for Numerical Methods in Engineering (publishedVersion)
Topics
  • Physical Sciences › Chemical Engineering › Fluid Flow and Transfer Processes › Particle Dynamics in Fluid Flows
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Aerosol Filtration and Electrostatic Precipitation
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrohydrodynamics and Fluid Dynamics
Keywords
particle trapping, electrostatic field, discrete element method, boundary element method, multipole expansion, particle chains, van der Waals interactions, particle adhesion, cylindrical electrodes, particle drift, particle deposition, particle collection efficiency

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