Ramadhan, AA orcid.org/0000-0002-0711-572X, Kapur, N, Summers, JL et al. (1 more author) (2017) Numerical modelling of electrohydrodynamic airflow induced in a wire-to-grid channel. Journal of Electrostatics, 87. pp. 123-139. ISSN 0304-3886
Abstract
Electrohydrodynamic (EHD) airflows provide a means of generating air motion by a gas discharge across two electrodes without the need for moving parts. A two-dimensional numerical model for a wire-to-grid EHD air blower is developed, validated against previous data, and used to investigate the influence of key design parameters on blower efficiency, including the emitter wire diameter, the blower height, the locations of the collecting surfaces and grid wires, and the collecting grid density. The optimal locations of both collectors from the corona wire are determined based on blower efficiency at a fixed operating power, resulting in improvements in the average outlet velocity between 9% and 15%, depending on blower thickness. The presence of the grid has a strong influence on the electric field distribution and increases the blower performance, with higher flow, lower operating voltage and reduced blower size. An investigation into the effect of grid density reveals that using coarse collecting grids is generally beneficial, leading to higher efficiency with lower pressure losses.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Elsevier B.V. This is an author produced version of a paper published in Journal of Electrostatics. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Electrohydrodynamic (EHD) airflow; EHD air blower; design parameters; thermal management |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 May 2017 10:53 |
Last Modified: | 27 Oct 2018 00:38 |
Published Version: | https://doi.org/10.1016/j.elstat.2017.04.004 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.elstat.2017.04.004 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:115945 |