guest ::
| Home > Publications database > Comparative analysis of the flow in a realistic human airway > print |
| 001 | 1048915 | ||
| 005 | 20251219202230.0 | ||
| 024 | 7 | _ | |a 10.1063/5.0301891 |2 doi |
| 024 | 7 | _ | |a 1527-2435 |2 ISSN |
| 024 | 7 | _ | |a 0031-9171 |2 ISSN |
| 024 | 7 | _ | |a 1070-6631 |2 ISSN |
| 024 | 7 | _ | |a 1089-7666 |2 ISSN |
| 024 | 7 | _ | |a 2163-4998 |2 ISSN |
| 024 | 7 | _ | |a 10.34734/FZJ-2025-05014 |2 datacite_doi |
| 037 | _ | _ | |a FZJ-2025-05014 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 530 |
| 100 | 1 | _ | |a Rüttgers, Mario |0 P:(DE-Juel1)177985 |b 0 |
| 245 | _ | _ | |a Comparative analysis of the flow in a realistic human airway |
| 260 | _ | _ | |a [Erscheinungsort nicht ermittelbar] |c 2025 |b American Institute of Physics |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1766155858_16742 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a Accurate simulations of the flow in the human airway are essential for advancing diagnostic methods. Many existing computational studies rely on simplified geometries or turbulence models, limiting their simulation’s ability to resolve flow features such as shear-layer instabilities or secondary vortices. In this study, direct numerical simulations were performed for inspiratory flow through a detailed airway model that covers the nasal mask region to the sixth bronchial bifurcation. Simulations were conducted at two physiologically relevant REYNOLDS numbers with respect to the pharyngeal diameter, i.e., at Re_p = 400 (resting) and Re_p = 1200 (elevated breathing). A lattice-Boltzmann method was employed to directly simulate the flow, i.e., no turbulence model was used. The flow field was examined across four anatomical regions: (1) the nasal cavity, (2) the naso- and oropharynx, (3) the laryngopharynx and larynx, and (4) the trachea and carinal bifurcation. The total pressure loss increased from 9.76 Pa at Re_p = 400 to 41.93 Pa at Re_p = 1200. The nasal cavity accounted for the majority of this loss for both vortices in the nasopharyngeal bend and turbulent shear layers in the glottis jet enhanced the local pressure losses. In contrast, the carinal REYNOLDS numbers, though its relative contribution decreased from 81.3% at Re_p = 400 to 73.4% at Re_p = 1200. At Re_p = 1200, secondary bifurcation mitigated upstream unsteadiness and stabilized the flow. A key outcome is the spatial correlation between the pressure loss and the onset of flow instabilities across the four regions. This yields a novel perspective on how the flow resistance and vortex dynamics vary with geometric changes and flow rate. |
| 536 | _ | _ | |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) |0 G:(DE-HGF)POF4-5111 |c POF4-511 |f POF IV |x 0 |
| 536 | _ | _ | |a HANAMI - Hpc AlliaNce for Applications and supercoMputing Innovation: the Europe - Japan collaboration (101136269) |0 G:(EU-Grant)101136269 |c 101136269 |x 1 |
| 588 | _ | _ | |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de |
| 700 | 1 | _ | |a Vorspohl, Julian |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Mayolle, Luca |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Johanning-Meiners, Benedikt |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Krug, Dominik |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Klaas, Michael |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Meinke, Matthias |0 P:(DE-HGF)0 |b 6 |
| 700 | 1 | _ | |a Lee, Sangseung |0 P:(DE-HGF)0 |b 7 |
| 700 | 1 | _ | |a Schröder, Wolfgang |0 P:(DE-HGF)0 |b 8 |
| 700 | 1 | _ | |a Lintermann, Andreas |0 P:(DE-Juel1)165948 |b 9 |e Corresponding author |
| 773 | _ | _ | |a 10.1063/5.0301891 |g Vol. 37, no. 12, p. 121901 |0 PERI:(DE-600)1472743-2 |n 12 |p 121901 |t Physics of fluids |v 37 |y 2025 |x 1527-2435 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1048915/files/121901_1_5.0301891.pdf |y OpenAccess |
| 909 | C | O | |o oai:juser.fz-juelich.de:1048915 |p openaire |p open_access |p driver |p VDB |p ec_fundedresources |p dnbdelivery |
| 910 | 1 | _ | |a RWTH Aachen |0 I:(DE-588b)36225-6 |k RWTH |b 1 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a RWTH Aachen |0 I:(DE-588b)36225-6 |k RWTH |b 2 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a RWTH Aachen |0 I:(DE-588b)36225-6 |k RWTH |b 3 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a RWTH Aachen |0 I:(DE-588b)36225-6 |k RWTH |b 5 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a RWTH Aachen |0 I:(DE-588b)36225-6 |k RWTH |b 6 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a RWTH Aachen |0 I:(DE-588b)36225-6 |k RWTH |b 8 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 9 |6 P:(DE-Juel1)165948 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action |1 G:(DE-HGF)POF4-510 |0 G:(DE-HGF)POF4-511 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Enabling Computational- & Data-Intensive Science and Engineering |9 G:(DE-HGF)POF4-5111 |x 0 |
| 914 | 1 | _ | |y 2025 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2024-12-18 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2024-12-18 |
| 915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2024-12-18 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1150 |2 StatID |b Current Contents - Physical, Chemical and Earth Sciences |d 2024-12-18 |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2024-12-18 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2024-12-18 |
| 915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |d 2024-12-18 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2024-12-18 |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b PHYS FLUIDS : 2022 |d 2024-12-18 |
| 915 | _ | _ | |a National-Konsortium |0 StatID:(DE-HGF)0430 |2 StatID |d 2024-12-18 |w ger |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2024-12-18 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2024-12-18 |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|