Modelling submicron and micron particles deposition in a human nasal cavity

Inthavong, K, Zhang, K and Tu, J 2009, 'Modelling submicron and micron particles deposition in a human nasal cavity', in P. Witt and M. Schwarz (ed.) Proceedings of the Seventh International Conference on CFD in the Minerals and Process Industries, Melbourne, Australia, 9-11 December 2009, pp. 1-7.


Document type: Conference Paper
Collection: Conference Papers

Title Modelling submicron and micron particles deposition in a human nasal cavity
Author(s) Inthavong, K
Zhang, K
Tu, J
Year 2009
Conference name Seventh International Conference on CFD in the Minerals and Process Industries
Conference location Melbourne, Australia
Conference dates 9-11 December 2009
Proceedings title Proceedings of the Seventh International Conference on CFD in the Minerals and Process Industries
Editor(s) P. Witt
M. Schwarz
Publisher CSIRO
Place of publication Melbourne, Australia
Start page 1
End page 7
Total pages 7
Abstract The size of a particle determines the deposition efficiency, as well as its deposition site. In this paper, different modelling techniques are presented for submicron and micron particles in a human nasal cavity. In addition this paper highlights some deficiencies in the default models available in a commercially available CFD software.For submicron particles the default Fluent Brownian model and a User-Defined Brownian model were evaluated. It was found that the default Brownian model significantly underpredicted submicron particle deposition, while the User Defined Brownian model provided an improvement in the particle deposition. The default Fluent turbulent particle tracking is known to overpredict the deposition of low inertial particles. This was evaluated against a damping function applied in the near wall region to reduce the normal fluctuating velocity. The application of the damping function improved the deposition efficiency for the low inertial particles.
Subjects Computational Fluid Dynamics
Keyword(s) CFD
computational fluid dynamics
Copyright notice © 2009 CSIRO Australia
ISBN 9780643098251
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