2020
DOI: 10.1080/10255842.2020.1833865
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Computational modelling of nasal respiratory flow

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Cited by 21 publications
(21 citation statements)
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“…1(c) ]. The respiratory cycle was simplified to pure sine waves based on the measured physiology data from Benchetrit et al 28 and used in Calmet et al, 29 allowing a simple method for describing the tidal volume, breathing periods, and periodicity, e.g., …”
Section: Methodsmentioning
confidence: 99%
“…1(c) ]. The respiratory cycle was simplified to pure sine waves based on the measured physiology data from Benchetrit et al 28 and used in Calmet et al, 29 allowing a simple method for describing the tidal volume, breathing periods, and periodicity, e.g., …”
Section: Methodsmentioning
confidence: 99%
“…In this study an eddy-viscosity subgrid-scale model (Vreman model) ( Vreman, 2004 ) is applied. This model provided good results in previous simulations of respiratory airways ( Calmet et al, 2020 ) or jets ( Both, Lehmkuhl, Mira, & Ortega, 2020 ) being competitive comparing with more computational demanding models like the dynamic Smagorinsky, see Koullapis et al (2017) .…”
Section: Governing Equationsmentioning
confidence: 72%
“…Recent modelling work (Calmet et al, 2021;van Strien et al, 2021) and experimental work (Hahn et al, 1993) for a single gas phase confirmed that a flow rate of 30 L/min exhibited both laminar and turbulent flow characteristics. However, for the VOF modelling, the flow comprises a liquid and air (gas) phase and therefore the fluid region in landmark regions (nostril, nasal valve, and nasopharynx) will initially start off with air but will have a proportion filled with water, thereby increasing the local Reynolds number with density difference of 1000× greater.…”
Section: Computational Fluid Dynamics Modelmentioning
confidence: 91%