Simulation of airflow fields and microparticle deposition in realistic human lung airway models. Part I: Airflow patterns

被引:54
作者
Li, Zheng
Kleinstreuer, Clement
Zhang, Zhe
机构
[1] N Carolina State Univ, Dept Mech & Aerosp Engn, Raleigh, NC 27695 USA
[2] N Carolina State Univ, Dept Biomed Engn, CFPD Lab, Raleigh, NC 27695 USA
[3] N Carolina State Univ, Dept Mech & Aerosp Engn, CFPD Lab, Raleigh, NC 27695 USA
关键词
asymmetric upper airways; transient 3-D airflow simulations; parabolic and realistic velocity inlet conditions; local velocity distributions;
D O I
10.1016/j.euromechflu.2007.02.003
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
In Part I, transient and steady laminar airflow fields were simulated with an in-house finite volume code for realistic upper airway models subject to different inlet conditions and geometric features. Axial velocities and secondary flows were compared at key time levels during the acceleration/deceleration phase of inhaled air and for steady-state inhalation. The main results can be summarized as follows. Considering two acceleration and deceleration time levels during transient inhalation as well as steady-state inhalation generating the same inlet Reynolds number, Rein-mean = 1201, the airflow patterns are quite similar. However, stronger axial and secondary velocities occur at all upper branch locations during flow deceleration because of the dynamic lingering effect. In general, the axial velocity profiles at steady state are very close to those at the point of deceleration. Variations in upper airway geometry, e.g., in-plane vs. out-of-plane configurations, have a significant effect on the airflow fields, although the primary airflow structures are similar in both idealized and more realistic airway configurations. The type of velocity inlet condition and existence of cartilaginous rings also influence the flow field; however, their impact is less important than changes in spatial angles. (c) 2007 Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:632 / 649
页数:18
相关论文
共 26 条
[1]  
[Anonymous], 1976, TRACHEOBRONCHIAL GEO
[2]   Numerical simulation of respiratory flow patterns within human lung [J].
Calay, RK ;
Kurujareon, J ;
Holdo, AE .
RESPIRATORY PHYSIOLOGY & NEUROBIOLOGY, 2002, 130 (02) :201-221
[3]   Tracheal and central bronchial aerodynamics using virtual bronchoscopy and computational fluid dynamics [J].
Cebral, JR ;
Summers, RM .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2004, 23 (08) :1021-1033
[4]  
CHOI JI, IN PRESS J COMPUT PH
[5]   A numerical method for solving incompressible viscous flow problems (Reprinted from the Journal of Computational Physics, vol 2, pg 12-26, 1997) [J].
Chorin, AJ .
JOURNAL OF COMPUTATIONAL PHYSICS, 1997, 135 (02) :118-125
[6]   Flow structures and particle deposition patterns in double-bifurcation airway models. Part 1. Air flow fields [J].
Comer, JK ;
Kleinstreuer, C ;
Zhang, Z .
JOURNAL OF FLUID MECHANICS, 2001, 435 :25-54
[7]   Low-diffusion flux-splitting methods for flows at all speeds [J].
Edwards, JR ;
Liou, MS .
AIAA JOURNAL, 1998, 36 (09) :1610-1617
[8]   A low-diffusion flux-splitting scheme for Navier-Stokes calculations [J].
Edwards, JR .
COMPUTERS & FLUIDS, 1997, 26 (06) :635-659
[9]   MODELS OF HUMAN BRONCHIAL TREE [J].
HORSFIEL.K ;
DART, G ;
OLSON, DE ;
FILLEY, GF ;
CUMMING, G .
JOURNAL OF APPLIED PHYSIOLOGY, 1971, 31 (02) :207-&
[10]   Assessment of regional deposition of inhaled particles in human lungs by serial bolus delivery method [J].
Kim, CS ;
Hu, SC ;
DeWitt, P ;
Gerrity, TR .
JOURNAL OF APPLIED PHYSIOLOGY, 1996, 81 (05) :2203-2213