Comparison of dust charging between orbital-motion-limited theory and particle-in-cell simulations
Abstract
The Orbital-Motion-Limited (OML) theory has been modified to predict the dust charge and the results were contrasted with the Whipple approximation [X. Z. Tang and G. L. Delzanno, Phys. Plasmas 21, 123708 (2014)]. To further establish its regime of applicability, here, the OML predictions (for a non-electron-emitting, spherical dust grain at rest in a collisionless, unmagnetized plasma) are compared with particle-in-cell simulations that retain the absorption radius effect. It is found that for large dust grain radius rd relative to the plasma Debye length λD, the revised OML theory remains a very good approximation as, for the parameters considered (rd/λD ≤ 10, equal electron and ion temperatures), it yields the dust charge to within 20% accuracy. This is a substantial improvement over the Whipple approximation. The dust collected currents and energy fluxes, which remain the same in the revised and standard OML theories, are accurate to within 15%–30%.
- Authors:
-
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Publication Date:
- Research Org.:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Fusion Energy Sciences (FES); USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1457245
- Alternate Identifier(s):
- OSTI ID: 1226393
- Report Number(s):
- LA-UR-15-24364
Journal ID: ISSN 1070-664X; PHPAEN; TRN: US1901328
- Grant/Contract Number:
- AC52-06NA25396
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Physics of Plasmas
- Additional Journal Information:
- Journal Volume: 22; Journal Issue: 11; Journal ID: ISSN 1070-664X
- Publisher:
- American Institute of Physics (AIP)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 70 PLASMA PHYSICS AND FUSION TECHNOLOGY; Maxwell equations; charged currents; interplanetary dust; plasma diagnostics; plasma sheaths; Poisson's equation; plasma density; plasma temperature; electric fields; particle-in-cell method
Citation Formats
Delzanno, Gian Luca, and Tang, Xian-Zhu. Comparison of dust charging between orbital-motion-limited theory and particle-in-cell simulations. United States: N. p., 2015.
Web. doi:10.1063/1.4935697.
Delzanno, Gian Luca, & Tang, Xian-Zhu. Comparison of dust charging between orbital-motion-limited theory and particle-in-cell simulations. United States. https://doi.org/10.1063/1.4935697
Delzanno, Gian Luca, and Tang, Xian-Zhu. Wed .
"Comparison of dust charging between orbital-motion-limited theory and particle-in-cell simulations". United States. https://doi.org/10.1063/1.4935697. https://www.osti.gov/servlets/purl/1457245.
@article{osti_1457245,
title = {Comparison of dust charging between orbital-motion-limited theory and particle-in-cell simulations},
author = {Delzanno, Gian Luca and Tang, Xian-Zhu},
abstractNote = {The Orbital-Motion-Limited (OML) theory has been modified to predict the dust charge and the results were contrasted with the Whipple approximation [X. Z. Tang and G. L. Delzanno, Phys. Plasmas 21, 123708 (2014)]. To further establish its regime of applicability, here, the OML predictions (for a non-electron-emitting, spherical dust grain at rest in a collisionless, unmagnetized plasma) are compared with particle-in-cell simulations that retain the absorption radius effect. It is found that for large dust grain radius rd relative to the plasma Debye length λD, the revised OML theory remains a very good approximation as, for the parameters considered (rd/λD ≤ 10, equal electron and ion temperatures), it yields the dust charge to within 20% accuracy. This is a substantial improvement over the Whipple approximation. The dust collected currents and energy fluxes, which remain the same in the revised and standard OML theories, are accurate to within 15%–30%.},
doi = {10.1063/1.4935697},
journal = {Physics of Plasmas},
number = 11,
volume = 22,
place = {United States},
year = {Wed Nov 18 00:00:00 EST 2015},
month = {Wed Nov 18 00:00:00 EST 2015}
}
Web of Science
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