This research investigates the computational analysis of airflow during inspiration and the tracking of particles in the human respiratory system from the nasal cavity to the third generation of the lungs.Also, the effect of geometric features of nasal cavities on their airflow is evaluated in this study.The actual geometry of the respiratory tract was extracted from CT-Scan medical images of a healthy person using image processing software.The flow is evaluated in laminar and steady states.The airflow rate at nasal entrances was assumed to be 20 L/min, which is related to sitting and resting situations.The movement and deposition of particles with a diameter of 1-30 micrometers in different parts of the human respiratory system have also been evaluated.The fluid field and movements of solid particles were evaluated by Eulerian and Lagrangian methods, respectively.Based on the obtained results, the greater the diameter of the particles, the more particles will be deposited in the nasal cavity.
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SE et al. (2018) studied this question.
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