Model for Pharmaceutical aerosol transport through stenosis airway

Larpruenrudee, P; Islam, MS; Paul, G; Paul, AR; Gu, YT; Saha, SC

Model for Pharmaceutical aerosol transport through stenosis airway

Larpruenrudee, P

Islam, MS Paul, G Paul, AR Gu, YT Saha, SC

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Publisher:: CRC Press
Publication Type:: Chapter
Citation:: Handbook of Lung Targeted Drug Delivery Systems, 2022, pp. 91-128
Issue Date:: 2022-08-26

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Field	Value	Language
dc.contributor.author	Larpruenrudee, P https://orcid.org/0000-0002-3413-3667
dc.contributor.author	Islam, MS
dc.contributor.author	Paul, G
dc.contributor.author	Paul, AR
dc.contributor.author	Gu, YT
dc.contributor.author	Saha, SC
dc.date.accessioned	2022-08-11T02:28:39Z
dc.date.available	2022-08-11T02:28:39Z
dc.date.issued	2022-08-26
dc.identifier.citation	Handbook of Lung Targeted Drug Delivery Systems, 2022, pp. 91-128
dc.identifier.isbn	9781003046547
dc.identifier.uri	http://hdl.handle.net/10453/159924
dc.description.abstract	Air pollution is the leading cause of different respiratory diseases such as asthma and chronic obstructive pulmonary disease (COPD) that commonly affect respiratory health. Computational fluid dynamics (CFD) has been used to predict the airflow pattern and particle transport within human lungs under disease conditions like obstructed airways. Nevertheless, the combination of the obstructed airways and the aging impact on these diseases under the various flow rates and particle diameters, has not been considered in previous studies. This chapter provides a clear understanding of airflow characteristics and particle transport through obstructions and smaller airways due to aging based on an asymmetric lung model generating from the trachea to the fourth generation. Eight different lung models were used for the numerical simulation. The ANSYS Fluent 19.2 was employed to solve the problems under the finite volume discretization technique. Appropriate grid refinement has been performed for all cases. The results indicate that airflow pattern always changes at the stenosis area. The velocity significantly increases at stenosis area for the first two generations and the smallest diameter size. The maximum pressure drop was located at stenosis area for the first generation of right lung and the fourth generation for the smallest diameter case, whereas the highest pressure was found in the trachea for both conditions. Stenosis areas at first two generations significantly affect higher turbulence intensity while smaller diameters generate lower turbulent fluctuation. The deposition efficiency and deposition fraction were based on the airway volume, particle size, and flow rate. The results of this study enhance the knowledge of airflow characteristics and particle deposition within asymmetric human lungs with stenosis area and smaller diameters.
dc.format.extent	48
dc.language	en
dc.publisher	CRC Press
dc.relation	University of Technology Sydney
dc.relation.ispartof	Handbook of Lung Targeted Drug Delivery Systems
dc.relation.isbasedon	10.1201/9781003046547-8
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Model for Pharmaceutical aerosol transport through stenosis airway
dc.type	Chapter
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.consider-herdc	false
utslib.copyright.embargo	2023-04-18T00:00:00+1000Z
dc.date.updated	2022-08-11T02:28:37Z
pubs.place-of-publication	USA
pubs.publication-status	Published
dc.location	USA

Abstract:

Air pollution is the leading cause of different respiratory diseases such as asthma and chronic obstructive pulmonary disease (COPD) that commonly affect respiratory health. Computational fluid dynamics (CFD) has been used to predict the airflow pattern and particle transport within human lungs under disease conditions like obstructed airways. Nevertheless, the combination of the obstructed airways and the aging impact on these diseases under the various flow rates and particle diameters, has not been considered in previous studies. This chapter provides a clear understanding of airflow characteristics and particle transport through obstructions and smaller airways due to aging based on an asymmetric lung model generating from the trachea to the fourth generation. Eight different lung models were used for the numerical simulation. The ANSYS Fluent 19.2 was employed to solve the problems under the finite volume discretization technique. Appropriate grid refinement has been performed for all cases. The results indicate that airflow pattern always changes at the stenosis area. The velocity significantly increases at stenosis area for the first two generations and the smallest diameter size. The maximum pressure drop was located at stenosis area for the first generation of right lung and the fourth generation for the smallest diameter case, whereas the highest pressure was found in the trachea for both conditions. Stenosis areas at first two generations significantly affect higher turbulence intensity while smaller diameters generate lower turbulent fluctuation. The deposition efficiency and deposition fraction were based on the airway volume, particle size, and flow rate. The results of this study enhance the knowledge of airflow characteristics and particle deposition within asymmetric human lungs with stenosis area and smaller diameters.

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http://hdl.handle.net/10453/159924