Imperial College London
Alternate

DrSalvadorNavarro-Martinez

Faculty of Engineering, Department of Mechanical Engineering

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Contact

 

+44 (0)20 7594 9229s.navarro

 
 
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Location

 

616City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Pesmazoglou:2017:10.1016/j.jaerosci.2017.06.002,
author = {Pesmazoglou, I and Kempf, A and Navarro-Martinez, S},
doi = {10.1016/j.jaerosci.2017.06.002},
journal = {Journal of Aerosol Science},
pages = {1--17},
title = {Large eddy simulation of particle aggregation in turbulent jets},
url = {http://dx.doi.org/10.1016/j.jaerosci.2017.06.002},
volume = {111},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Aggregation is an inter-particle process that involves a multitude of different physical and chemical mechanisms. Aggregation processes often occur within turbulent flows; for example in spray drying, soot formation, or nanoparticle formation. When the concentration of particles is very large, a direct simulation of individual particles is not possible and alternative approaches are needed. The present work follows the stochastic aggregation modelling based on a Lagrangian framework by Pesmazoglou, Kempf, and Navarro-Martinez (2016) and implements it in the Large Eddy Simulation context. The new coupled model is used to investigate particle aggregation in turbulent jets. Two cases are considered: an existent Direct Numerical Simulation of nanoparticle agglomeration in a planar jet and an experimental configuration of nanoparticles in a round jet. The results show a good agreement in both cases, demonstrating the advantages of the Lagrangian framework to model agglomeration and it capacity to describe the full particle size distribution.
AU  - Pesmazoglou,I
AU  - Kempf,A
AU  - Navarro-Martinez,S
DO  - 10.1016/j.jaerosci.2017.06.002
EP  - 17
PY  - 2017///
SN  - 0021-8502
SP  - 1
TI  - Large eddy simulation of particle aggregation in turbulent jets
T2  - Journal of Aerosol Science
UR  - http://dx.doi.org/10.1016/j.jaerosci.2017.06.002
UR  - http://hdl.handle.net/10044/1/49003
VL  - 111
ER  -
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