Coupling direct numerical simulations with population balance modelling for predicting turbulent particle precipitation in a T-mixer

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Title: Coupling direct numerical simulations with population balance modelling for predicting turbulent particle precipitation in a T-mixer
Authors: Tang, H
Papadakis, G
Rigopoulos, S
Item 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.
Issue Date: 30-Jul-2019
Date of Acceptance: 23-Dec-2018
URI: http://hdl.handle.net/10044/1/69949
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). This paper is embargoed until publication.
Sponsor/Funder: The Leverhulme Trust
Funder's Grant Number: RPG-2018-101
Conference Name: 11th International Symposium on Turbulence and Shear Flow Phenomena (TSFP11)
Publication Status: Accepted
Start Date: 2019-07-30
Finish Date: 2019-08-02
Conference Place: Southampton, UK
Embargo Date: publication subject to indefinite embargo
Appears in Collections:Aeronautics



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