Application of hybrid RANS-LES models to the prediction of flow, residence time and solids distribution in an industrial crystalliser

Gary Brown

Research output: ThesisDoctoral Thesis

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Hybrid RANS-LES models were used to investigate the flow field, residence time and solids distribution in an industrial crystalliser. On an appropriate mesh where the large-scale turbulence structures are adequately resolved, hybrid RANS-LES models were found to give good agreement with experimental data and to provide a significant improvement over RANS predictions in all elements of the flow studied. Further, it is concluded that the simulation times and model complexity are appropriate for the broader application of hybrid RANS-LES models in the investigation of internal flows relevant to the process industries.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • The University of Western Australia
  • Leggoe, Jeremy, Supervisor
  • Aman, Zach, Supervisor
Thesis sponsors
Award date17 Oct 2023
Publication statusUnpublished - 2023

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