Author
Listed:
- Reza Tabe
- Roohollah Rafee
- Mohammad Sadegh Valipour
- Goodarz Ahmadi
Abstract
In the present study, the turbulent flows inside a realistic model of the upper respiratory tract were investigated numerically and experimentally. The airway model included the geometrical details of the oral cavity to the end of the trachea that was based on a series of CT-scan images. The topological data of the respiratory tract were used for generating the computational model as well as the 3D-printed model that was used in the experimental pressure drop measurement. Different airflow rates of 30, 45, and 60 L/min, which correspond to the light, semi-light, and heavy activity breathing conditions, were investigated numerically using turbulence and transition models, as well as experimentally. Simulation results for airflow properties, including velocity vectors, pressure drops, streamlines, eddy viscosity, and turbulent kinetic energy contours in the oral-trachea airway model, were presented. The simulated pressure drop was compared with the experimental data, and reasonable agreement was found. The obtained results showed that the maximum pressure drop occurs in the narrowest part of the larynx region. A comparison between the numerical results and experimental data showed that the transition (γ−Reθ) SST model predicts higher pressure losses, especially at higher breathing rates. Formations of the secondary flows in the oropharynx and trachea regions were also observed. In addition, the simulation results showed that in the trachea region, the secondary flow structures dissipated faster for the flow rate of 60 L/min compared to the lower breathing rates of 30 and 45 L/min.
Suggested Citation
Reza Tabe & Roohollah Rafee & Mohammad Sadegh Valipour & Goodarz Ahmadi, 2021.
"Investigation of airflow at different activity conditions in a realistic model of human upper respiratory tract,"
Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 24(2), pages 173-187, January.
Handle:
RePEc:taf:gcmbxx:v:24:y:2021:i:2:p:173-187
DOI: 10.1080/10255842.2020.1819256
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