Imperial College London
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ProfessorDenisDoorly

Faculty of Engineering, Department of Aeronautics

Professor of Fluid Mechanics
 
 
 
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Contact

 

d.doorly

 
 
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Location

 

313ACity and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Calmet:2022:10.1016/j.jaerosci.2021.105848,
author = {Calmet, H and Bertomeu, PF and McIntyre, C and Rennie, C and Gouder, K and Houzeaux, G and Fletcher, C and Still, R and Doorly, D},
doi = {10.1016/j.jaerosci.2021.105848},
journal = {Journal of Aerosol Science},
title = {Computational modelling of an aerosol extraction device for use in COVID-19 surgical tracheotomy},
url = {http://dx.doi.org/10.1016/j.jaerosci.2021.105848},
volume = {159},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Calmet,H
AU  - Bertomeu,PF
AU  - McIntyre,C
AU  - Rennie,C
AU  - Gouder,K
AU  - Houzeaux,G
AU  - Fletcher,C
AU  - Still,R
AU  - Doorly,D
DO  - 10.1016/j.jaerosci.2021.105848
PY  - 2022///
SN  - 0021-8502
TI  - Computational modelling of an aerosol extraction device for use in COVID-19 surgical tracheotomy
T2  - Journal of Aerosol Science
UR  - http://dx.doi.org/10.1016/j.jaerosci.2021.105848
UR  - http://hdl.handle.net/10044/1/90789
VL  - 159
ER  -
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