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Acta Physica Sinica
Article . 2022 . Peer-reviewed
Data sources: Crossref
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Acta Physica Sinica
Article
License: CC BY
Data sources: UnpayWall
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Triboelectrification in moving particle flow

Authors: Qi-Xia Sun; Jian-Hong Zhuang; Bai-Cheng Liu; Zhen-Xing Shen;

Triboelectrification in moving particle flow

Abstract

Triboelectrification in an insulative granular system is a common natural phenomenon, but until now it has not been well understood. The space on the moon or Mars is suffused by a large amount of fine dust. These tiny dust particles are so adhesive that they can easily stick to any exposed surfaces, which may provoke serious problems, such as reducing the efficiency of solar panels, and resulting in the thermal control failure and the false instrument readings. In recent years, dust removal by using an electrodynamic field is considered as an effective method to mitigate dust pollution. Research shows that the triboelectrification on the particle surface contributes most to the electrostatic source of lunar dust. Consequently, the study of the mechanism of triboelectrification is very important in removing dust particles. In this paper, an analytical model based on the high-energy electron hypothesis is developed to predict the triboelectric charge distribution among particles. The particle size dependence of the tribo-charge is obtained, and the influence of the size range on the tribo-charge probability is also demonstrated. An upper limit for the charge distribution is revealed, and its possible cause is discussed. The particle dynamics simulation is carried out to investigate the charge transfer during particle collisions, thereby verifying the prediction results obtained by theoretical analysis.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
gold