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Title:Ellipsoidal particle transport and deposition in an averaged human nasal airway — A CFD study
Authors:ID Wedel, Jana (Author)
ID Catalán, Nicolás (Author)
ID Steinmann, Paul (Author)
ID Hriberšek, Matjaž (Author)
ID Cito, Salvatore (Author)
ID Varela, Sylvana (Author)
ID Pallares, Jordi (Author)
ID Ravnik, Jure (Author)
Files:.pdf 1-s2.0-S0301932226000583-main.pdf (6,81 MB)
MD5: 8C81995B56BF309A9A2F63CF088465C8
 
URL https://www.sciencedirect.com/science/article/pii/S0301932226000583?via%3Dihub
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract:Airborne particles represent one of the major health challenges of our time, with micron-sized non-spherical particles, particularly fibrous ones, being of particular concern due to their ability to penetrate deep into the lungs and potentially cause disease. Despite their relevance, quantitative studies on the transport and deposition of non-spherical particles in realistic human nasal cavities remain sparse. Anatomical variability further complicates this problem, yet the limited availability of nasal cavity geometries restricts systematic investigation. To address this, we employ an averaged nasal cavity geometry, derived from multiple realistic replicas, to assess the influence of breathing scenarios on non-spherical particle transport and deposition. Fluid and particle simulations were conducted using an in-house OpenFOAM (V11) module in an Euler–Lagrangian framework, with steady RANS-based flow fields resolved using the k–w SST turbulence model. Breathing conditions corresponding to rest and moderate exercise (7.5, 15, and 3 L/min) were studied for particles with =2.5–20 m, considering both spherical and prolate ellipsoidal particles of different aspect ratios. Our results demonstrate that flow rate as well as both particle size and shape strongly influence deposition efficiency and local deposition patterns. Higher flow rates strongly amplify deposition hotspots while altering their distribution. Importantly, we show that simplified shape-factor models systematically overpredict deposition efficiencies for strongly elongated particles and misrepresent local deposition patterns compared to the Euler–Lagrange Euler-Rotation (EL-ER) approach. Note that mispredicted spatial deposition could lead to underestimating particle exposure to sensitive lung regions, misjudging drug delivery efficiency, or overlooking health risks from fibrous or elongated particles, highlighting the importance of an accurate representation of non-spherical, i.e. ellipsoidal, particle dynamics.
Keywords:fibers, CFD, point-particle, OpenFOAM
Publication status:Published
Publication version:Version of Record
Submitted for review:15.09.2025
Article acceptance date:09.02.2026
Publication date:19.02.2026
Publisher:Elsevier
Year of publishing:2026
Number of pages:25 str.
Numbering:Vol. 198, [article no.] 105657
PID:20.500.12556/DKUM-97164 New window
UDC:532.5:519.6
ISSN on article:1879-3533
COBISS.SI-ID:269115395 New window
DOI:10.1016/j.ijmultiphaseflow.2026.105657 New window
Publication date in DKUM:20.02.2026
Views:161
Downloads:5
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:International journal of multiphase flow
Shortened title:Int. j. multiph. flow
Publisher:Elsevier
ISSN:1879-3533
COBISS.SI-ID:23219973 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0196-2020
Name:Raziskave v energetskem, procesnem in okoljskem inženirstvu

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J7-60118-2025
Name:Izpostavljenost ljudi sevanju zaradi uporabe novih brezžičnih komunikacijskih tehnologij na podlagi naprednih modelov elektromagnetno-termalne dozimetrije

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:vlakna, računalniška dinamika tekočin, točkovni delci


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