Literature DB >> 12398415

Flow simulation in the human upper respiratory tract.

Ted B Martonen1, Liang Quan, Zongqin Zhang, C J Musante.   

Abstract

Computer simulations of airflow patterns within the human upper respiratory tract (URT) are presented. The URT model includes airways of the head (nasal and oral), throat (pharyngeal and laryngeal), and lungs (trachea and main bronchi). The head and throat morphology was based on a cast of a medical school teaching model; tracheobronchial airways were defined mathematically. A body-fitted three-dimensional curvilinear grid system and a multiblock method were employed to graphically represent the surface geometries of the respective airways and to generate the corresponding mesh for computational fluid dynamics simulations. Our results suggest that for a prescribed phase of breath (i.e., inspiration or expiration), convective respiratory airflow patterns are highly dependent on flow rate values. Moreover, velocity profiles were quite different during inhalation and exhalation, both in terms of the sizes, strengths, and locations of localized features such as recirculation zones and air jets. Pressure losses during inhalation were 30-35% higher than for exhalation and were proportional to the square of the flow rate. Because particles are entrained and transported within airstreams, these results may have important applications to the targeted delivery of inhaled drugs.

Entities:  

Mesh:

Year:  2002        PMID: 12398415     DOI: 10.1385/CBB:37:1:27

Source DB:  PubMed          Journal:  Cell Biochem Biophys        ISSN: 1085-9195            Impact factor:   2.194


  11 in total

Review 1.  [Nasal-air conditioning].

Authors:  T Keck; A Rozsasi; P M Gruen
Journal:  HNO       Date:  2011-01       Impact factor: 1.284

2.  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

Review 3.  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

4.  On intra- and intersubject variabilities of airflow in the human lungs.

Authors:  Jiwoong Choi; Merryn H Tawhai; Eric A Hoffman; Ching-Long Lin
Journal:  Phys Fluids (1994)       Date:  2009-10-13       Impact factor: 3.521

5.  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

6.  Computational fluid dynamics as surgical planning tool: a pilot study on middle turbinate resection.

Authors:  Kai Zhao; Prashant Malhotra; David Rosen; Pamela Dalton; Edmund A Pribitkin
Journal:  Anat Rec (Hoboken)       Date:  2014-11       Impact factor: 2.064

Review 7.  [Three-dimensional analysis of nasal physiology : Representation by means of computational fluid dynamics].

Authors:  F Sommer; T K Hoffmann; G Mlynski; M Reichert; A-S Grossi; R Kröger; J Lindemann
Journal:  HNO       Date:  2018-04       Impact factor: 1.284

Review 8.  The way the wind blows: implications of modeling nasal airflow.

Authors:  Kai Zhao; Pamela Dalton
Journal:  Curr Allergy Asthma Rep       Date:  2007-05       Impact factor: 4.806

9.  A CFD approach to understand nasoseptal perforations.

Authors:  M A Burgos; E Sanmiguel-Rojas; R Rodríguez; F Esteban-Ortega
Journal:  Eur Arch Otorhinolaryngol       Date:  2018-07-24       Impact factor: 2.503

10.  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

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