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Discrete‐element method for particle capture by a body in an electrostatic field
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).”
From Influence of Back Electrostatic Field on the Collection Efficiency of an Electrostatic Lunar Dust Collector (2014) · cites this paper as 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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