Paper
28 August 2023 Numerical simulation of aerosol deposition in the human upper airway
Jian-He Liu, Wen-Zheng Li
Author Affiliations +
Proceedings Volume 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023); 1272426 (2023) https://doi.org/10.1117/12.2687474
Event: Second International Conference on Biomedical and Intelligent Systems (IC-BIS2023), 2023, Xiamen, China
Abstract
In order to maximize the utilization effect of drugs in aerosol inhalation therapy and achieve "targeted" drug delivery, the transport and deposition characteristics of aerosol particles in the upper respiratory tract under different respiratory conditions were studied. Firstly, a 3D image of the upper respiratory tract of an adult male was taken by CT, and the 3D image data was reconstructed by 3D Slicer software to establish a real mouth and throat model of the upper respiratory tract model. The Langer method was used to discretize the particles. Finally, on the FLUENT platform, the numerical simulation of the aerosol inhalation process under different particle sizes and different breathing flows was carried out by using large eddy simulation (LES). The results show that: in the upper respiratory tract, the flow state of the airflow is basically turbulent, and the airflow structure in the upper respiratory tract is complex, and the airflow velocity changes sharply at the entrance of the mouth, the pharynx, the larynx and the transition of the trachea. Aerosol particle size decreases, particle deposition efficiency increases, and increased respiratory flow also leads to increased deposition efficiency.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jian-He Liu and Wen-Zheng Li "Numerical simulation of aerosol deposition in the human upper airway", Proc. SPIE 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023), 1272426 (28 August 2023); https://doi.org/10.1117/12.2687474
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KEYWORDS
Particles

3D modeling

Aerosols

Mouth

Atmospheric particles

3D image processing

Atmospheric modeling

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