Predictions of aerosol deposition rates from turbulent flow using computational fluid dynamics simulations have been compared with experimental data. The influence of turbulence model choice has been assessed. The use of isotropic turbulence models resulted in over-prediction of V + by more than 3 orders of magnitude for τ + ∼ 0.2 , whilst the anisotropic RSM gave results in good agreement with experiment. For τ + > 10 ( d p ∼ 10 μ m for Re = 9894 ) there was little difference between the turbulence models. Simulations for both Re = 9894 and 50,000 were carried out and good performance was seen for both. The effect of drag model was assessed and resulted in little difference in predicted deposition velocity. The influence of grid resolution was also investigated and it was seen that the cell centre of the wall-adjacent cell should be at a distance of y + = 2 or less for quantitative prediction of deposition. Coarser grids resulted in over-prediction for low τ + .
Journal of Aerosol Science – Elsevier
Published: Feb 1, 2008
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera