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:2015:10.1016/j.ijmultiphaseflow.2015.12.004,
author = {Pesmazoglou, I and Kempf, AM and Navarro-Martinez, S},
doi = {10.1016/j.ijmultiphaseflow.2015.12.004},
journal = {International Journal of Multiphase Flow},
pages = {118--130},
title = {Stochastic modelling of particle aggregation},
url = {http://dx.doi.org/10.1016/j.ijmultiphaseflow.2015.12.004},
volume = {80},
year = {2015}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Aggregation is an inter-particle process which involves a multitude of different physicochemical mechanisms. In the present work, particles in the nano-scale are considered, with such concentration that renders their direct simulation as individual particles intractable. A stochastic aggregation model is presented for large particle populations in a Lagrangian framework. The model allows for simultaneous collisions between numerical parcels present in a certain volume of interaction (e.g. computational cell) and can be directly coupled to an unsteady numerical solver of a continuous flow. The model performance is evaluated against analytic solutions for a sum (Golovin) and constant aggregation kernel.
AU  - Pesmazoglou,I
AU  - Kempf,AM
AU  - Navarro-Martinez,S
DO  - 10.1016/j.ijmultiphaseflow.2015.12.004
EP  - 130
PY  - 2015///
SN  - 0301-9322
SP  - 118
TI  - Stochastic modelling of particle aggregation
T2  - International Journal of Multiphase Flow
UR  - http://dx.doi.org/10.1016/j.ijmultiphaseflow.2015.12.004
UR  - http://hdl.handle.net/10044/1/28879
VL  - 80
ER  -
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