Literature DB >> 27160637

Details of regional particle deposition and airflow structures in a realistic model of human tracheobronchial airways: two-phase flow simulation.

Mohammad Rahimi-Gorji1, Tahereh B Gorji2, Mofid Gorji-Bandpy3.   

Abstract

In the present investigation, detailed two-phase flow modeling of airflow, transport and deposition of micro-particles (1-10µm) in a realistic tracheobronchial airway geometry based on CT scan images under various breathing conditions (i.e. 10-60l/min) was considered. Lagrangian particle tracking has been used to investigate the particle deposition patterns in a model comprising mouth up to generation G6 of tracheobronchial airways. The results demonstrated that during all breathing patterns, the maximum velocity change occurred in the narrow throat region (Larynx). Due to implementing a realistic geometry for simulations, many irregularities and bending deflections exist in the airways model. Thereby, at higher inhalation rates, these areas are prone to vortical effects which tend to entrap the inhaled particles. According to the results, deposition fraction has a direct relationship with particle aerodynamic diameter (for dp=1-10µm). Enhancing inhalation flow rate and particle size will largely increase the inertial force and consequently, more particle deposition is evident suggesting that inertial impaction is the dominant deposition mechanism in tracheobronchial airways.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  CT-scan based images; Computational two-phase flow; Human tracheobronchial airways; Lagrangian particle tracking; Micro-particle deposition

Mesh:

Year:  2016        PMID: 27160637     DOI: 10.1016/j.compbiomed.2016.04.017

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  7 in total

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Authors:  Endalew Getnet Tsega
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Review 7.  Biomedical and biophysical limits to mathematical modeling of pulmonary system mechanics: a scoping review on aerosol and drug delivery.

Authors:  Hamidreza Mortazavy Beni; Hamed Mortazavi; Mohammad Saidul Islam
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  7 in total

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