Comparison of analytical and CFD models with regard to micron particle deposition in a human 16-generation tracheobronchial airway model

Abstract A representative human tracheobronchial tree has been geometrically represented with adjustable triple-bifurcation units (TBUs) in order to effectively simulate local and global micron particle depositions. It is the first comprehensive attempt to compute micron-particle transport in a (Weibel Type A) 16-generation model with realistic inlet conditions. The CFD modeling predictions are compared to experimental observations as well as analytical modeling results. Based on the findings with the validated computer simulation model, the following conclusions can be drawn: (i) Surprisingly, simulated inspiratory deposition fractions for the entire tracheobronchial region (say, G0–G15) with repeated TBUs in parallel and in series agree rather well with those calculated using analytical/semi-empirical expressions. However, the predicted particle-deposition fractions based on such analytical formulas differ greatly from the present simulation results for most local bifurcations, due to the effects of local geometry and resulting local flow features and particle distributions. Clearly, the effects of realistic geometries, flow structures and particle distributions in different individual bifurcations accidentally cancel each other so that the simulated deposition efficiencies during inspiration in a relatively large airway region may agree quite well with those obtained from analytical expressions. Furthermore, with the lack of local resolution, analytical models do not provide any physical insight to the air–particle dynamics in the tracheobronchial region. (ii) The maximum deposition enhancement factors (DEF) may be in the order of 10 2 to 10 3 for micron particles in the tracheobronchial airways, implying potential health effects when the inhaled particles are toxic. (iii) The presence of sedimentation for micron particles in lower bronchial airways may change the local impaction-based deposition patterns seen for larger airways and hence reduces the maximum DEF values. (iv) Rotation of an airway bifurcation cause a significant impact on distal bifurcations rather than on the proximal ones. Such geometric effects are minor when compared to the effects of airflow and particle transport/deposition history, i.e., upstream effects.

[1]  C. Kleinstreuer,et al.  Airflow structures and nano-particle deposition in a human upper airway model , 2004 .

[2]  C Kleinstreuer,et al.  An adjustable triple-bifurcation unit model for air-particle flow simulations in human tracheobronchial airways. , 2009, Journal of biomechanical engineering.

[3]  W. Hofmann,et al.  Monte Carlo modeling of aerosol deposition in human lungs. Part I: Simulation of particle transport in a stochastic lung structure , 1990 .

[4]  K. Nishino,et al.  Statistical simulation of particle deposition on the wall from turbulent dispersed pipe flow , 2000 .

[5]  P. C. Emmett,et al.  Measurements of the total and regional deposition of inhaled particles in the human respiratory tract , 1982 .

[6]  Flemming R. Cassee,et al.  Multiple Path Particle Dosimetry model (MPPD v1.0): A model for human and rat airway particle dosimetry , 2002 .

[7]  M. Bailey,et al.  Deposition, Retention and Dosimetry of Inhaled Radioactive Substances , 1998 .

[8]  J. Goo,et al.  Theoretical analysis of particle deposition in human lungs considering stochastic variations of airway morphology , 2003 .

[9]  Clement Kleinstreuer,et al.  Flow structures and particle deposition patterns in double-bifurcation airway models. Part 1. Air flow fields , 2001, Journal of Fluid Mechanics.

[10]  A. Gosman,et al.  Aspects of computer simulation of liquid-fuelled combustors , 1981 .

[11]  W. Hofmann,et al.  Particle Deposition in a Multiple-Path Model of the Human Lung , 2001 .

[12]  A. Black,et al.  Regional deposition of 2.5-7.5 μm diameter inhaled particles in healthy male non-smokers , 1978 .

[13]  Clement Kleinstreuer,et al.  Laminar-to-turbulent fluid-particle flows in a human airway model , 2003 .

[14]  W. Finlay,et al.  Improved numerical simulation of aerosol deposition in an idealized mouth-throat , 2004 .

[15]  R. Clift,et al.  Bubbles, Drops, and Particles , 1978 .

[16]  Clement Kleinstreuer,et al.  Gas–solid two-phase flow in a triple bifurcation lung airway model , 2002 .

[17]  Thomas Heistracher,et al.  Local particle deposition patterns may play a key role in the development of lung cancer. , 2003, Journal of applied physiology.

[18]  Clement Kleinstreuer,et al.  Species heat and mass transfer in a human upper airway model , 2003 .

[19]  P. Worth Longest,et al.  Efficient computation of micro-particle dynamics including wall effects , 2004 .

[20]  Ananth V. Annapragada,et al.  Computational Fluid Dynamics Simulation of Airflow and Aerosol Deposition in Human Lungs , 2004, Annals of Biomedical Engineering.

[21]  Steven H Frankel,et al.  Numerical modeling of pulsatile turbulent flow in stenotic vessels. , 2003, Journal of biomechanical engineering.

[22]  P. James,et al.  On the effect of anisotropy on the turbulent dispersion and deposition of small particles , 1999 .

[23]  Clement Kleinstreuer,et al.  Particle deposition in the human tracheobronchial airways due to transient inspiratory flow patterns , 2007 .

[24]  C. S. Kim,et al.  Total respiratory tract deposition of fine micrometer-sized particles in healthy adults: empirical equations for sex and breathing pattern. , 2006, Journal of applied physiology.

[25]  P. Jaques,et al.  Analysis of Total Respiratory Deposition of Inhaled Ultrafine Particles in Adult Subjects at Various Breathing Patterns , 2004 .

[26]  Clement Kleinstreuer,et al.  Low-Reynolds-Number Turbulent Flows in Locally Constricted Conduits: A Comparison Study , 2003 .

[27]  E. Weibel Morphometry of the Human Lung , 1965, Springer Berlin Heidelberg.

[28]  G. Ahmadi,et al.  Particle deposition in turbulent duct flows—comparisons of different model predictions , 2007 .

[29]  Clement Kleinstreuer,et al.  Biofluid Dynamics: Principles and Selected Applications , 2006 .

[30]  C Kleinstreuer,et al.  Targeted drug-aerosol delivery in the human respiratory system. , 2008, Annual review of biomedical engineering.

[31]  Clement Kleinstreuer,et al.  Comparison of micro- and nano-size particle depositions in a human upper airway model , 2005 .

[32]  F. Bracco,et al.  Stochastic particle dispersion modeling and the tracer‐particle limit , 1992 .

[33]  Morton Lippmann,et al.  Regional Deposition of Particles in the Human Respiratory Tract , 2011 .

[34]  A. Gosman,et al.  Aspects of Computer Simulation of Liquid-Fueled Combustors , 1983 .

[35]  J. Heyder,et al.  Deposition of particles in the human respiratory tract in the size range 0.005–15 μm , 1986 .

[36]  Clement Kleinstreuer,et al.  Transient airflow structures and particle transport in a sequentially branching lung airway model , 2002 .

[37]  C. Kleinstreuer,et al.  Combined inertial and gravitational deposition of microparticles in small model airways of a human respiratory system , 2007 .

[38]  P. Moin,et al.  Turbulence statistics in fully developed channel flow at low Reynolds number , 1987, Journal of Fluid Mechanics.

[39]  Jinxiang Xi,et al.  Computational investigation of particle inertia effects on submicron aerosol deposition in the respiratory tract , 2007 .

[40]  M Lippmann,et al.  Experimental measurements and empirical modelling of the regional deposition of inhaled particles in humans. , 1980, American Industrial Hygiene Association journal.

[41]  Jung-Il Choi,et al.  Mathematical Analysis of Particle Deposition in Human Lungs: An Improved Single Path Transport Model , 2007, Inhalation toxicology.

[42]  Icrp Human Respiratory Tract Model for Radiological Protection , 1994 .

[43]  E. Weibel Morphometry of the Human Lung , 1965, Springer Berlin Heidelberg.