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Original scientific paper

https://doi.org/10.17559/TV-20211123102414

Transient Numerical Simulation of Airflow Characteristics in the Mouth-Throat 3D Model

Aleksandra Vulović ; University of Criminal Investigation and Police Studies, Cara Dušana 196, 11080 Zemun, Serbia Faculty of Engineering, University of Kragujevac, Sestre Janjic 6, 34000 Kragujevac, Serbia; BioIRC, Bioengineering Research and Development Center, Prvoslava Stojanovica 6, 34000 Kragujevac, Serbia
Jelena Lamovec ; University of Criminal Investigation and Police Studies, Cara Dušana 196, 11080 Zemun, Serbia
Stevo Jaćimovski ; University of Criminal Investigation and Police Studies, Cara Dušana 196, 11080 Zemun, Serbia
Nenad Filipović ; Faculty of Engineering, University of Kragujevac, Sestre Janjic 6, 34000 Kragujevac, Serbia; BioIRC, Bioengineering Research and Development Center, Prvoslava Stojanovica 6, 34000 Kragujevac


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Abstract

Air pollution is a public health problem that has a serious effect on human health, as it leads to increased morbidity and mortality. Each year, more than 3 million people die from air pollution, while many more have higher risks of stroke, heart attack, and lung diseases as a result of the pollution. The available epidemiological studies indicate that exposure to particulate matter in the air can have a toxic effect on the cardiovascular system, and increase the death risk from cardiovascular diseases such as ischemic heart disease and heart failure. In this study, we have reconstructed the upper respiratory tract model from the CT images in order to analyze airflow patterns during the inhalation part of the breathing cycle and to track NO2 particles inhaled through the mouth or nose. The numerical analysis has been performed using the computational fluid dynamics (CFD) method and the discrete particle method (DPM). The continuous phase flow was solved using the k-ω Shear Stress Transport model with low Reynolds number corrections.

Keywords

airflow characteristics; computational fluid dynamics; discrete phase model; mouth-throat model; NO2 particles

Hrčak ID:

281662

URI

https://hrcak.srce.hr/281662

Publication date:

15.10.2022.

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