Issue |
EPJ Web of Conf.
Volume 299, 2024
EFM22 – Experimental Fluid Mechanics 2022
|
|
---|---|---|
Article Number | 01002 | |
Number of page(s) | 5 | |
Section | Contributions | |
DOI | https://doi.org/10.1051/epjconf/202429901002 | |
Published online | 04 July 2024 |
https://doi.org/10.1051/epjconf/202429901002
Numerical study of fiber deposition in airway replica using CFD-DEM simulation
Brno University of Technology, Department of thermodynamics and environmental sciences, 616 69 Brno, Czech Republic
* Corresponding author: belka@fme.vutbr.cz
Published online: 4 July 2024
Inhalation of fibers has been a health concern for several decades. Although the use of some fibers, such as asbestos, was banned altogether in many countries, global demand for other fibers, such as man-made vitreous or carbon fibers, increases every year. The health hazard of fibers is given by their ability to penetrate deep into human lungs and avoid defensive mechanisms. This is mainly given by their anisometric shape and complex behavior in fluid flow, e.g. drag force acting on a fiber depends significantly on fiber orientation. The objective of the present work was to numerically investigate fiber transport and deposition in the model of child respiratory airways including the upper respiratory tract and tracheobronchial tree down to 2nd generation of branching. Computational fluid dynamics–discrete element method was employed to model a fiber motion during which the drag force was calculated based on actual fiber orientation in a flow. This method was compared to a simpler approach in which a modified drag coefficient accounting for fiber non-spherical shape was used. The results of the employed methods were compared.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.