Aerosol particle transport and deposition in a CT-based lung airway for helium-oxygen mixture

Islam, MS; Saha, SC; Young, PM

Aerosol particle transport and deposition in a CT-based lung airway for helium-oxygen mixture

Islam, MS Saha, SC

Young, PM

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the 21st Australasian Fluid Mechanics Conference, AFMC 2018, 2018
Issue Date:: 2018-01-01

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Field	Value	Language
dc.contributor.author	Islam, MS	en_US
dc.contributor.author	Saha, SC https://orcid.org/0000-0002-9962-8919	en_US
dc.contributor.author	Young, PM	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	Proceedings of the 21st Australasian Fluid Mechanics Conference, AFMC 2018, 2018	en_US
dc.identifier.isbn	9780646597843	en_US
dc.identifier.uri	http://hdl.handle.net/10453/138071
dc.description.abstract	© 2018 Australasian Fluid Mechanics Society. All rights reserved. A precise understanding of the aerosol particle transport and deposition (TD) in the human lung is important to improve the efficiency of the targeted drug delivery, as the current drug delivery device can deliver only a small amount of the drug to the terminal airways. A wide range of available computational and experimental model has improved the understanding of particle TD in the human lung for air breathing. However, the helium-oxygen gas mixture breathing is less dense than the air breathing and the turbulent dispersion is less likely to develop at the upper airways, which eventually reduce the higher deposition at the upper airways. This study aims to investigate the effects of the helium-oxygen gas mixture at the upper airways of a realistic human lung. A realistic lung model is developed from the CT-Scan data for a healthy adult. A Low Reynolds Number (LRN) k-ω model is used to calculate the fluid motion and Lagrangian particle tracking scheme is used for particle transport. ANSYS Fluent solver (19.0) is used for the numerical simulation and MATLAB software is used for the advanced post-processing. The numerical results show that helium-oxygen gas mixture breathing reduces the aerosol deposition at the upper airways than the air breathing. The present simulation along with more case-specific investigation will improve the understanding of the particle TD for the helium-oxygen mixture.	en_US
dc.relation.ispartof	Proceedings of the 21st Australasian Fluid Mechanics Conference, AFMC 2018	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Aerosol particle transport and deposition in a CT-based lung airway for helium-oxygen mixture	en_US
dc.type	Conference Proceeding
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.publication-status	Published	en_US

Abstract:

© 2018 Australasian Fluid Mechanics Society. All rights reserved. A precise understanding of the aerosol particle transport and deposition (TD) in the human lung is important to improve the efficiency of the targeted drug delivery, as the current drug delivery device can deliver only a small amount of the drug to the terminal airways. A wide range of available computational and experimental model has improved the understanding of particle TD in the human lung for air breathing. However, the helium-oxygen gas mixture breathing is less dense than the air breathing and the turbulent dispersion is less likely to develop at the upper airways, which eventually reduce the higher deposition at the upper airways. This study aims to investigate the effects of the helium-oxygen gas mixture at the upper airways of a realistic human lung. A realistic lung model is developed from the CT-Scan data for a healthy adult. A Low Reynolds Number (LRN) k-ω model is used to calculate the fluid motion and Lagrangian particle tracking scheme is used for particle transport. ANSYS Fluent solver (19.0) is used for the numerical simulation and MATLAB software is used for the advanced post-processing. The numerical results show that helium-oxygen gas mixture breathing reduces the aerosol deposition at the upper airways than the air breathing. The present simulation along with more case-specific investigation will improve the understanding of the particle TD for the helium-oxygen mixture.

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http://hdl.handle.net/10453/138071