Particle precipitation by bipolar corona discharge ion winds

Dau, Van Thanh and Dinh, Thien Xuan and Tran, Canh-Dung and Terebessy, Tibor and Duc, Trinh Chu and Bui, Tung Thanh (2018) Particle precipitation by bipolar corona discharge ion winds. Journal of Aerosol Science, 124. pp. 83-94. ISSN 0021-8502

Abstract

The paper reports the development of a particle precipitation based aerosol sampler using bipolar
corona discharge ion winds with collected particles of minimized net charge. For the new approach, neutralized particles move towards a sampler under the effect of electric field and dual ion winds. Since there is no electrode or sampling chip installed inside the air-flow channel, impediments to airborne particle flow or ion winds are removed along the flow direction. In addition, the isolation of ion winds, which generate circuit, allows using various materials for the sampling chip including non-conductors and also protecting collected particles from any discharge ignition on the chip. The device mechanism is numerically simulated in OpenFOAM to study the electrofluidodynamic interaction of charged particles and bipolar ion winds. The efficiency of the new approach has been investigated by experiment with a maximum efficiency of 94%. The effects of flow rate, discharge voltage and electrode distances on the method are also evaluated.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Accepted version embargoed until 1 August 2019 (12 months), in accordance with the copyright policy of the publisher.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 29 Jul 2018 23:45
Last Modified: 21 Sep 2018 05:23
Uncontrolled Keywords: charged particles; ionic wind; particle simulation; corona discharge; OpenFOAM
Fields of Research : 09 Engineering > 0915 Interdisciplinary Engineering > 091599 Interdisciplinary Engineering not elsewhere classified
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: 10.1016/j.jaerosci.2018.07.007
URI: http://eprints.usq.edu.au/id/eprint/34650

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