Literature DB >> 8748525

Numerical simulation of airflow in the human nasal cavity.

K Keyhani1, P W Scherer, M M Mozell.   

Abstract

An anatomically correct finite element mesh of the right human nasal cavity was constructed from CAT scans of a healthy adult nose. The steady-state Navier-Stokes and continuity equations were solved numerically to determine the laminar airflow patterns in the nasal cavity at quiet breathing flow rates. In the main nasal passages, the highest inspiratory air speed occurred along the nasal floor (below the inferior turbinate), and a second lower peak occurred in the middle of the airway (between the inferior and middle turbinates and the septum). Nearly 30 percent of the inspired volumetric flow passed below the inferior turbinate and about 10 percent passed through the olfactory airway. Secondary flows were induced by curvature and rapid changes in cross-sectional area of the airways, but the secondary velocities were small in comparison with the axial velocity through most of the main nasal passages. The flow patterns changed very little as total half-nasal flow rate varied between resting breathing rates of 125 m/s and 200 ml/s. During expiration, the peaks in velocity were smaller than inspiration, and the flow was more uniform in the turbinate region. Inspiratory streamline patterns in the model were determined by introducing neutrally buoyant point particles at various locations on the external naris plane, and tracking their path based on the computed flow field. Only the stream from the ventral tip of the naris reached the olfactory airway. The numerically computed velocity field was compared with the experimentally measured velocity field in a large scale (20x) physical model, which was built by scaling up from the same CAT scans. The numerical results showed good agreement with the experimental measurements at different locations in the airways, and confirmed that at resting breathing flow rates, airflow through the nasal cavity is laminar.

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Year:  1995        PMID: 8748525     DOI: 10.1115/1.2794204

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  49 in total

1.  Computed nasal resistance compared with patient-reported symptoms in surgically treated nasal airway passages: a preliminary report.

Authors:  Julia S Kimbell; Guilherme J M Garcia; Dennis O Frank; Daniel E Cannon; Sachin S Pawar; John S Rhee
Journal:  Am J Rhinol Allergy       Date:  2012 May-Jun       Impact factor: 2.467

2.  Numerical simulation of humidification and heating during inspiration in nose models with three different located septal perforations.

Authors:  Jörg Lindemann; Michael Reichert; Ralf Kröger; Patrick Schuler; Thomas Hoffmann; Fabian Sommer
Journal:  Eur Arch Otorhinolaryngol       Date:  2015-11-06       Impact factor: 2.503

3.  First Steps to Develop and Validate a CFPD Model in Order to Support the Design of Nose-to-Brain Delivered Biopharmaceuticals.

Authors:  Lucas Engelhardt; Martina Röhm; Chrystelle Mavoungou; Katharina Schindowski; Annette Schafmeister; Ulrich Simon
Journal:  Pharm Res       Date:  2016-02-17       Impact factor: 4.200

4.  Numerical flow simulation in the post-endoscopic sinus surgery nasal cavity.

Authors:  Guanxia Xiong; Jiemin Zhan; Kejun Zuo; Jianfeng Li; Liangwan Rong; Geng Xu
Journal:  Med Biol Eng Comput       Date:  2008-08-26       Impact factor: 2.602

5.  Inflow boundary profile prescription for numerical simulation of nasal airflow.

Authors:  D J Taylor; D J Doorly; R C Schroter
Journal:  J R Soc Interface       Date:  2009-09-09       Impact factor: 4.118

6.  Numerical simulation of normal nasal cavity airflow in Chinese adult: a computational flow dynamics model.

Authors:  Jie Tan; Demin Han; Jie Wang; Ting Liu; Tong Wang; Hongrui Zang; Yunchuan Li; Xiangdong Wang
Journal:  Eur Arch Otorhinolaryngol       Date:  2011-09-22       Impact factor: 2.503

7.  How much does nasal cavity morphology matter? Patterns and rates of olfactory airflow in phyllostomid bats.

Authors:  Thomas P Eiting; J Blair Perot; Elizabeth R Dumont
Journal:  Proc Biol Sci       Date:  2015-02-07       Impact factor: 5.349

8.  Computational fluid dynamics after endoscopic endonasal skull base surgery-possible empty nose syndrome in the context of middle turbinate resection.

Authors:  Guillermo Maza; Chengyu Li; Jillian P Krebs; Bradley A Otto; Alexander A Farag; Ricardo L Carrau; Kai Zhao
Journal:  Int Forum Allergy Rhinol       Date:  2018-11-29       Impact factor: 3.858

9.  The fluid dynamics of canine olfaction: unique nasal airflow patterns as an explanation of macrosmia.

Authors:  Brent A Craven; Eric G Paterson; Gary S Settles
Journal:  J R Soc Interface       Date:  2009-12-09       Impact factor: 4.118

10.  Numerical simulation of airflow in the human nose.

Authors:  Ivo Weinhold; Gunter Mlynski
Journal:  Eur Arch Otorhinolaryngol       Date:  2003-12-03       Impact factor: 2.503

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