Document Detail


Comparison of particle tracking algorithms in commercial CFD packages: sedimentation and diffusion.
MedLine Citation:
PMID:  17497530     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Computational fluid dynamic modeling software has enabled microdosimetry patterns of inhaled toxins and toxicants to be predicted and visualized, and is being used in inhalation toxicology and risk assessment. These predicted microdosimetry patterns in airway structures are derived from predicted airflow patterns within these airways and particle tracking algorithms used in computational fluid dynamics (CFD) software packages. Although these commercial CFD codes have been tested for accuracy under various conditions, they have not been well tested for respiratory flows in general. Nor has their particle tracking algorithm accuracy been well studied. In this study, three software packages, Fluent Discrete Phase Model (DPM), Fluent Fine Particle Model (FPM), and ANSYS CFX, were evaluated. Sedimentation and diffusion were each isolated in a straight tube geometry and tested for accuracy. A range of flow rates corresponding to adult low activity (minute ventilation = 10 L/min) and to heavy exertion (minute ventilation = 60 L/min) were tested by varying the range of dimensionless diffusion and sedimentation parameters found using the Weibel symmetric 23 generation lung morphology. Numerical results for fully developed parabolic and uniform (slip) profiles were compared respectively, to Pich (1972) and Yu (1977) analytical sedimentation solutions. Schum and Yeh (1980) equations for sedimentation were also compared. Numerical results for diffusional deposition were compared to analytical solutions of Ingham (1975) for parabolic and uniform profiles. Significant differences were found among the various CFD software packages and between numerical and analytical solutions. Therefore, it is prudent to validate CFD predictions against analytical solutions in idealized geometry before tackling the complex geometries of the respiratory tract.
Authors:
Risa J Robinson; Pam Snyder; Michael J Oldham
Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Inhalation toxicology     Volume:  19     ISSN:  1091-7691     ISO Abbreviation:  Inhal Toxicol     Publication Date:  2007 May 
Date Detail:
Created Date:  2007-05-14     Completed Date:  2007-08-27     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8910739     Medline TA:  Inhal Toxicol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  517-31     Citation Subset:  IM    
Affiliation:
Department of Mechanical Engineering, Rochester Institute of Technology, Rochester, New York 14623, USA. rjreme@rit.edu
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Computational Biology / methods,  standards*
Computer Simulation / standards*
Diffusion
Nanoparticles* / analysis
Particle Size
Pulmonary Ventilation / physiology
Software / standards*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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