Computational modelling of air-particle flow in the human airways

Inthavong, K, Tu, J and Ahmadi, G 2009, 'Computational modelling of air-particle flow in the human airways', Journal of Computational Multiphase Flows, vol. 1, no. 1, pp. 57-81.

Document type: Journal Article
Collection: Journal Articles

Title Computational modelling of air-particle flow in the human airways
Author(s) Inthavong, K
Tu, J
Ahmadi, G
Year 2009
Journal name Journal of Computational Multiphase Flows
Volume number 1
Issue number 1
Start page 57
End page 81
Total pages 25
Publisher Multi-Science Publishing
Abstract This paper summarises current studies related to numerical gas-particle flows in the human nasal cavity. Of interest are the numerical modelling requirements to consider the effects of particle morphology for a variety of particle shapes and sizes such as very small particles sizes (nanoparticles), elongated shapes (asbestos fibres), rough shapes (pollen), and porous light density particles (drug particles) are considered. It was shown that important physical phenomena needed to be addressed for different particle characteristics. This included the Brownian diffusion for submicron particles. Computational results for the nasal capture efficiency for nano-particles and various breathing rates in the laminar regime were found to correlate well with the ratio of particle diffusivity to the breathing rate. For micron particles, particle inertia is the most significant property and the need to use sufficient drag laws is important. Drag correlations for fibrous and rough surfaced particles were investigated to enable particle tracking. Based on the simulated results, semi-empirical correlations for particle deposition were fitted in terms of Peclet number and inertial parameter for nanoparticles and micron particles respectively.
Subject Numerical Modelling and Mechanical Characterisation
ISSN 1757-482X
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Created: Mon, 13 Dec 2010, 14:37:00 EST by Catalyst Administrator
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