Airflow and particle transport prediction through stenosis airways

Singh, P; Raghav, V; Padhmashali, V; Paul, G; Islam, MS; Saha, SC

Airflow and particle transport prediction through stenosis airways

Singh, P Raghav, V Padhmashali, V Paul, G

Islam, MS

Saha, SC

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Publication Type:: Journal Article
Citation:: International Journal of Environmental Research and Public Health, 2020, 17 (3)
Issue Date:: 2020-02-01

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Field	Value	Language
dc.contributor.author	Singh, P	en_US
dc.contributor.author	Raghav, V	en_US
dc.contributor.author	Padhmashali, V	en_US
dc.contributor.author	Paul, G https://orcid.org/0000-0002-1880-9161	en_US
dc.contributor.author	Islam, MS https://orcid.org/0000-0001-6264-3886	en_US
dc.contributor.author	Saha, SC https://orcid.org/0000-0002-9962-8919	en_US
dc.date.available	2020-02-08	en_US
dc.date.issued	2020-02-01	en_US
dc.identifier.citation	International Journal of Environmental Research and Public Health, 2020, 17 (3)	en_US
dc.identifier.issn	1661-7827	en_US
dc.identifier.uri	http://hdl.handle.net/10453/138506
dc.description.abstract	© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Airflow and particle transport in the human lung system is influenced by biological and other factors such as breathing pattern, particle properties, and deposition mechanisms. Most of the studies to date have analyzed airflow characterization and aerosol transport in idealized and realistic models. Precise airflow characterization for airway stenosis in a digital reference model is lacking in the literature. This study presents a numerical simulation of airflow and particle transport through a stenosis section of the airway. A realistic CT-scan-based mouth–throat and upper airway model was used for the numerical calculations. Three different models of a healthy lung and of airway stenosis of the left and right lung were used for the calculations. The ANSYS FLUENT solver, based on the finite volume discretization technique, was used as a numerical tool. Proper grid refinement and validation were performed. The numerical results show a complex-velocity flow field for airway stenosis, where airflow velocity magnitude at the stenosis section was found to be higher than that in healthy airways. Pressure drops at the mouth–throat and in the upper airways show a nonlinear trend. Comprehensive pressure analysis of stenosis airways would increase our knowledge of the safe mechanical ventilation of the lung. The turbulence intensities at the stenosis sections of the right and left lung were found to be different. Deposition efficiency (DE) increased with flow rate and particle size. The findings of the present study increase our understanding of airflow patterns in airway stenosis under various disease conditions. More comprehensive stenosis analysis is required to further improve knowledge of the field.	en_US
dc.relation.ispartof	International Journal of Environmental Research and Public Health	en_US
dc.relation.isbasedon	10.3390/ijerph17031119	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Toxicology	en_US
dc.title	Airflow and particle transport prediction through stenosis airways	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	17	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	open_access	*
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	17	en_US

Abstract:

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Airflow and particle transport in the human lung system is influenced by biological and other factors such as breathing pattern, particle properties, and deposition mechanisms. Most of the studies to date have analyzed airflow characterization and aerosol transport in idealized and realistic models. Precise airflow characterization for airway stenosis in a digital reference model is lacking in the literature. This study presents a numerical simulation of airflow and particle transport through a stenosis section of the airway. A realistic CT-scan-based mouth–throat and upper airway model was used for the numerical calculations. Three different models of a healthy lung and of airway stenosis of the left and right lung were used for the calculations. The ANSYS FLUENT solver, based on the finite volume discretization technique, was used as a numerical tool. Proper grid refinement and validation were performed. The numerical results show a complex-velocity flow field for airway stenosis, where airflow velocity magnitude at the stenosis section was found to be higher than that in healthy airways. Pressure drops at the mouth–throat and in the upper airways show a nonlinear trend. Comprehensive pressure analysis of stenosis airways would increase our knowledge of the safe mechanical ventilation of the lung. The turbulence intensities at the stenosis sections of the right and left lung were found to be different. Deposition efficiency (DE) increased with flow rate and particle size. The findings of the present study increase our understanding of airflow patterns in airway stenosis under various disease conditions. More comprehensive stenosis analysis is required to further improve knowledge of the field.

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http://hdl.handle.net/10453/138506