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PMID: 33410725 Published · ppublish English Journal Article

Transport and deposition of ultrafine particles in the upper tracheobronchial tree: a comparative study between approximate and realistic respiratory tract models.

Computer methods in biomechanics and biomedical engineering ·Vol. 24 ·No. 10 ·2021-08-00 ·页码 1125-1135

Dong J, Li J, Tian L, Tu J

Abstract

This paper presents a computational fluid dynamics (CFD) study of air-particle flows in the upper tracheobronchial tree. Two respiratory tract models, including a parametrically controlled approximate airway model developed by Kitaoka (KG model) and a CT-based patient specific airway (realistic model) were used. Assuming laminar, quasi-steady, three-dimensional air flow and spherical non-interacting ultrafine particles in sequentially bifurcating rigid bronchial airways, airflow patterns and particle transport/deposition in these two airway models were evaluated and compared. Overall deposition efficiency data was compared with the widely adopted ICRP data published by The International Commission on Radiological Protection. Good deposition efficiency agreements were observed between the present respiratory tract models and the ICRP data, which validated the numerical prediction accuracy of the present computational fluid-particle dynamics (CFPD) model. For the two respiratory models, the comparison showed both difference and similarity between the approximate KG model and the realistic model. Specifically, the realistic model showed more complicated airflow patterns due to the increased surface irregularity. The deposition efficiency data revealed a deposition preference in the first-generation airways compared to the rest regions. For ultrafine particles smaller than 10 nm, Brownian diffusion remains the dominant particle deposition mechanism. However, for ultrafine particles with size ranging from 10 nm to 100 nm, the deposition efficiency decreased dramatically with the 100 nm particles approaching to zero deposition in the present bronchial tree scope. The generation-by-generation deposition data presented in this paper is indispensable to the formulation of new lung inhalation exposure models.

Keywords
CFD simulation Inhalation exposure approximate model realistic model ultrafine particle upper tracheobronchial tree
MeSH 主题词
Aerosols Computer Simulation Humans Lung Models, Biological Particle Size Particulate Matter
化学物质
Aerosols Particulate Matter
作者与单位
共 4 位作者,点击展开单位 / ORCID
Dong Jingliang ORCID
Mechanical & Automotive Engineering, School of Engineering, RMIT University, Bundoora, VIC, Australia.
Li Jiang
Mechanical & Automotive Engineering, School of Engineering, RMIT University, Bundoora, VIC, Australia.
Tian Lin ORCID
Mechanical & Automotive Engineering, School of Engineering, RMIT University, Bundoora, VIC, Australia.
Tu Jiyuan
Mechanical & Automotive Engineering, School of Engineering, RMIT University, Bundoora, VIC, Australia.
Article Info
Journal
Computer methods in biomechanics and biomedical engineering
Abbr.
Comput Methods Biomech Biomed Engin
ISSN
1476-8259
Published
2021-08-00
电子出版
2021-00-07
页码
1125-1135
Language
English
Country/Region
England
NLM ID
9802899
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