Imperial College London
Alternate

Dr Stelios Rigopoulos

Faculty of Engineering, Department of Mechanical Engineering

Reader in Thermofluids
 
 
 
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Contact

 

+44 (0)20 7594 7108s.rigopoulos

 
 
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Location

 

620City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Tang:2019,
author = {Tang, H and Papadakis, G and Rigopoulos, S},
publisher = {TSFP},
title = {Coupling direct numerical simulations with population balance modelling for predicting turbulent particle precipitation in a T-mixer},
url = {http://hdl.handle.net/10044/1/69949},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - In  this  study  we  develop  a  methodology  for  predicting  the particle size distribution(PSD)inparticulate process, a process used    for    producing    particulate    materials,by    coupling population balance  modelling  and direct numerical simulation. Itis  employed  in  investigating  the turbulent precipitation  of BaSO4in a T-mixer.The high resolution allowed us to capture the dominating mechanisms.Particle formation is most intense in  the  impingementand  the reactantconsumption  in each precipitation   mechanism   depends   on   the   mixing   intensity.Different  particle  formation  statesand  their characteristics  on the PSD in the early stage arethenidentified.Comparisonwith an ideal reactor showsthat the distribution can be controlled by altering the mixing environment.
AU  - Tang,H
AU  - Papadakis,G
AU  - Rigopoulos,S
PB  - TSFP
PY  - 2019///
TI  - Coupling direct numerical simulations with population balance modelling for predicting turbulent particle precipitation in a T-mixer
UR  - http://hdl.handle.net/10044/1/69949
ER  -
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