Coupling direct numerical simulations with population balance modelling for predicting turbulent particle precipitation in a T-mixer
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Published version
Author(s)
Tang, Hin
Papadakis, Georgios
Rigopoulos, Stylianos
Type
Conference Paper
Abstract
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.
Date Acceptance
2018-12-23
Citation
Proceedings of the 11th International Symposium on Turbulence and Shear Flow Phenomena (TSFP11), Southampton, UK, July 30 to August 2, 2019.
Publisher
TSFP
Journal / Book Title
Proceedings of the 11th International Symposium on Turbulence and Shear Flow Phenomena (TSFP11), Southampton, UK, July 30 to August 2, 2019.
Copyright Statement
© 2019 The Author(s).
Sponsor
The Leverhulme Trust
Grant Number
RPG-2018-101
Source
11th International Symposium on Turbulence and Shear Flow Phenomena (TSFP11)
Publication Status
Accepted
Start Date
2019-07-30
Finish Date
2019-08-02
Coverage Spatial
Southampton, UK
Date Publish Online
2019-07-30