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Numerical and experimental analysis of inhalation airflow dynamics in a human pharyngeal airway

journal contribution
posted on 2024-11-02, 12:10 authored by Yaming Fan, Jingliang DongJingliang Dong, Lin TianLin Tian, Kiao InthavongKiao Inthavong, Jiyuan TuJiyuan Tu
This paper presents a computational and experimental study of steady inhalation in a realistic human pharyngeal airway model. To investigate the intricate fluid dynamics inside the pharyngeal airway, the numerical predicted flow patterns are compared with in vitro measurements using Particle Image Velocimetry (PIV) approach. A structured mesh with 1.4 million cells is used with a laminar constant flow rate of 10 L/min. PIV measurements are taken in three sagittal planes which showed flow acceleration after the pharynx bend with high velocities in the posterior pharyngeal wall. Computed velocity profiles are compared with the measurements which showed generally good agreements with over-predicted velocity distributions on the anterior wall side. Secondary flow patterns on cross-sectional slices in the transverse plane revealed vortices posterior of pharynx and a pair of secondary flow vortexes due to the abrupt cross-sectional area increase. Finally, pressure and flow resistance analysis demonstrate that greatest pressure occurs in the superior half of the airway and maximum in-plane pressure variation is observed at the velo-oropharynx junction, which expects to induce a high tendency of airway collapse during inhalation. This study provides insights of the complex fluid dynamics in human pharyngeal airway and can contribute to a reliable approach to assess the probability of flow-induced airway collapse and improve the treatment of obstructive sleep apnea.

History

Related Materials

  1. 1.
    DOI - Is published in 10.3390/ijerph17051556
  2. 2.
    ISSN - Is published in 16617827

Journal

International Journal of Environmental Research and Public Health

Volume

17

Number

1556

Issue

5

Start page

1

End page

14

Total pages

14

Publisher

MDPI AG

Place published

Switzerland

Language

English

Copyright

© 2020 by the authors.

Former Identifier

2006098096

Esploro creation date

2020-09-08

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