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contributor authorKhan, Rafid Jahangir
contributor authorIlegbusi, Olusegun
date accessioned2025-04-21T10:19:20Z
date available2025-04-21T10:19:20Z
date copyright10/23/2024 12:00:00 AM
date issued2024
identifier issn2572-7958
identifier otherjesmdt_008_03_031007.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4305939
description abstractThis study investigated the interaction of cough droplets with airflow in a realistic human airway. The ultimate aim was to understand the behavior of cough droplets inside the airway and to assess the potential of droplets to be retained in the airway or transmitted to the lungs. A computational fluid dynamics (CFD) model, based on the Euler–Lagrangian framework, was employed to predict the two-phase, droplet-laden transient cough flow in a realistic three-dimensional (3D) human airway. The airway geometry was reconstructed from patient computed tomography (CT) scan dataset. The discrete phase model was used to track the motion of the droplets in the air flow. Two distinct cough profiles—a strong cough and a weak cough—acquired experimentally from human subjects, were used as input to simulate normal and disordered cough functions. The effects of cough strength and droplet size on droplet retention and aspiration in the airway were investigated. It was found that droplet retention was significantly higher for a weak cough compared to a strong cough. For a weak cough, the highest droplet retention percentage exceeded 60%, while for a strong cough, it was less than 20%. Larger sized droplets were more likely to be aspirated into the lungs, especially under weak cough conditions. In the case of weak cough, more than 5% of the 200 μm sized droplets were aspirated into the lungs, whereas for strong cough, aspiration was less than 2%.
publisherThe American Society of Mechanical Engineers (ASME)
titleComputational Modeling of Cough Droplet Behavior in the Human Upper Respiratory Airway
typeJournal Paper
journal volume8
journal issue3
journal titleJournal of Engineering and Science in Medical Diagnostics and Therapy
identifier doi10.1115/1.4066625
journal fristpage31007-1
journal lastpage31007-9
page9
treeJournal of Engineering and Science in Medical Diagnostics and Therapy:;2024:;volume( 008 ):;issue: 003
contenttypeFulltext


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