Literature DB >> 20080240

On the assumption of steadiness of nasal cavity flow.

I Hörschler1, W Schröder, M Meinke.   

Abstract

The unsteady flow through a model of the human nasal cavity is analyzed at a Strouhal number of Sr=0.791 for the complete respiration cycle. A comparison of the essential flow structures in the model geometry and a real nasal cavity shows the relevance of the model data. The analysis of the steady and unsteady solutions indicate that at Reynolds numbers Re> or =1500 the differences of the solutions of the unsteady and steady flow field can be neglected. To be more precise, the comparison of the total pressure loss distribution as a function of mass flux for the steady state and unsteady solutions shows the major differences to occur at increasing mass flux. At transition from inspiration to expiration the unsteady results differ the most from the steady state solutions. At high mass fluxes the total pressure loss of the nasal cavity flow almost matches that of the steady state solutions. The comparison with rhinomanometry measurements confirms the present numerical findings. Copyright 2010 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20080240     DOI: 10.1016/j.jbiomech.2009.12.008

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  8 in total

Review 1.  Review of computational fluid dynamics in the assessment of nasal air flow and analysis of its limitations.

Authors:  Maurizio Quadrio; Carlotta Pipolo; Stefano Corti; Riccardo Lenzi; Francesco Messina; Chiara Pesci; Giovanni Felisati
Journal:  Eur Arch Otorhinolaryngol       Date:  2013-10-08       Impact factor: 2.503

2.  Effects of CT resolution and radiodensity threshold on the CFD evaluation of nasal airflow.

Authors:  Maurizio Quadrio; Carlotta Pipolo; Stefano Corti; Francesco Messina; Chiara Pesci; Alberto M Saibene; Samuele Zampini; Giovanni Felisati
Journal:  Med Biol Eng Comput       Date:  2015-06-10       Impact factor: 2.602

3.  On locating the obstruction in the upper airway via numerical simulation.

Authors:  Yong Wang; S Elghobashi
Journal:  Respir Physiol Neurobiol       Date:  2013-12-31       Impact factor: 1.931

4.  Model demonstrates functional purpose of the nasal cycle.

Authors:  David E White; Jim Bartley; Roy J Nates
Journal:  Biomed Eng Online       Date:  2015-04-24       Impact factor: 2.819

5.  Dynamics of airflow in a short inhalation.

Authors:  A J Bates; D J Doorly; R Cetto; H Calmet; A M Gambaruto; N S Tolley; G Houzeaux; R C Schroter
Journal:  J R Soc Interface       Date:  2015-01-06       Impact factor: 4.118

6.  A fluid mechanical interpretation of hysteresis in rhinomanometry.

Authors:  T F Groß; F Peters
Journal:  ISRN Otolaryngol       Date:  2011-09-21

7.  Impacts of fluid dynamics simulation in study of nasal airflow physiology and pathophysiology in realistic human three-dimensional nose models.

Authors:  De Yun Wang; Heow Peuh Lee; Bruce R Gordon
Journal:  Clin Exp Otorhinolaryngol       Date:  2012-11-13       Impact factor: 3.372

8.  An effective simulation- and measurement-based workflow for enhanced diagnostics in rhinology.

Authors:  Moritz Waldmann; Alice Grosch; Christian Witzler; Matthias Lehner; Odo Benda; Walter Koch; Klaus Vogt; Christopher Kohn; Wolfgang Schröder; Jens Henrik Göbbert; Andreas Lintermann
Journal:  Med Biol Eng Comput       Date:  2021-12-23       Impact factor: 2.602

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.