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Computational modelling of an aerosol extraction device for use in COVID-19 surgical tracheotomy

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Title: Computational modelling of an aerosol extraction device for use in COVID-19 surgical tracheotomy
Authors: Calmet, H
Bertomeu, PF
McIntyre, C
Rennie, C
Gouder, K
Houzeaux, G
Fletcher, C
Still, R
Doorly, D
Item Type: Journal Article
Abstract: In view of the ongoing COVID-19 pandemic and its effects on global health, understanding and accurately modelling the propagation of human biological aerosols has become crucial. Worldwide, health professionals have been one of the most affected demographics, representing approximately 20% of all cases in Spain, 10% in Italy and 4% in China and US. Methods to contain and remove potentially infected aerosols during Aerosol Generating Procedures (AGPs) near source offer advantages in reducing the contamination of protective clothing and the surrounding theatre equipment and space. In this work we describe the application of computational fluid dynamics in assessing the performance of a prototype extraction hood as a means to contain a high speed aerosol jet. Whilst the particular prototype device is intended to be used during tracheotomies, which are increasingly common in the wake of COVID-19, the underlying physics can be adapted to design similar machines for other AGPs. Computational modelling aspect of this study was largely carried out by Barcelona Supercomputing Center using the high performance computational mechanics code Alya. Based on the high fidelity LES coupled with Lagrangian frameworks the results demonstrate high containment efficiency of generated particles is feasible with achievable air extraction rates.
Issue Date: 1-Jan-2022
Date of Acceptance: 12-Jul-2021
URI: http://hdl.handle.net/10044/1/90789
DOI: 10.1016/j.jaerosci.2021.105848
ISSN: 0021-8502
Publisher: Elsevier
Journal / Book Title: Journal of Aerosol Science
Volume: 159
Copyright Statement: © 2021 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Keywords: 0306 Physical Chemistry (incl. Structural)
0401 Atmospheric Sciences
0904 Chemical Engineering
Meteorology & Atmospheric Sciences
Publication Status: Published
Article Number: ARTN 105848
Online Publication Date: 2021-07-27
Appears in Collections:Aeronautics
Imperial College London COVID-19
Faculty of Engineering

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