Simulation of size-dependent aerosol deposition in a realistic model of the upper human airways

E. M.A. Frederix, A. K. Kuczaj, M. Nordlund, M. Bělka, F. Lizal, J. Jedelský, J. Elcner, M. Jícha, B. J. Geurts

Research output: Contribution to journalArticleAcademicpeer-review

22 Citations (Scopus)
138 Downloads (Pure)

Abstract

An Eulerian internally mixed aerosol model is used for predictions of deposition inside a realistic cast of the human upper airways. The model, formulated in the multi-species and compressible framework, is solved using the sectional discretization of the droplet size distribution function to accurately capture size-dependent aerosol dynamics such as droplet drift, gravitational settling and diffusion. These three mechanisms are implemented in a consistent way in the model, guaranteeing that the total droplet mass as given by the droplet size distribution is always equal to the total droplet mass due to the mass concentration fields. To validate the model, we simulate monodisperse glycerol aerosol deposition inside the lung cast, for which experimental data is available. Provided that an adequate computational mesh is used and an adequate boundary treatment for the inertial deposition velocity, excellent agreement is found with the experimental data. Finally, we study the size-dependent deposition inside the lung cast for a polydisperse aerosol with droplet sizes ranging from the nanometer scale to beyond the micrometer scale. The typical ‘V-shape’ deposition curve is recovered. The aim of this paper is to 1) provide an overview of the Eulerian aerosol dynamics model and method, to 2) validate this method in a relevant complex lung geometry and to 3) explore the capabilities of the method by simulating polydisperse aerosol deposition.

Original languageEnglish
Pages (from-to)29-45
Number of pages17
JournalJournal of Aerosol Science
Volume115
DOIs
Publication statusPublished - 1 Jan 2018

Fingerprint

Dive into the research topics of 'Simulation of size-dependent aerosol deposition in a realistic model of the upper human airways'. Together they form a unique fingerprint.

Cite this