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Modeling multiphase fluid flow, mass transfer, and chemical reactions in bioreactors using large‐eddy simulation

We present a transient large eddy simulation (LES) modeling approach for simulating the interlinked physics describing free surface hydrodynamics, multiphase mixing, reaction kinetics, and mass transport in bioreactor systems. Presented case‐studies include non‐reacting and reacting bioreactor syste...

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Detalles Bibliográficos
Autores principales: Hanspal, Navraj, DeVincentis, Brian, Thomas, John A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893763/
https://www.ncbi.nlm.nih.gov/pubmed/36751475
http://dx.doi.org/10.1002/elsc.202200020
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author Hanspal, Navraj
DeVincentis, Brian
Thomas, John A.
author_facet Hanspal, Navraj
DeVincentis, Brian
Thomas, John A.
author_sort Hanspal, Navraj
collection PubMed
description We present a transient large eddy simulation (LES) modeling approach for simulating the interlinked physics describing free surface hydrodynamics, multiphase mixing, reaction kinetics, and mass transport in bioreactor systems. Presented case‐studies include non‐reacting and reacting bioreactor systems, modeled through the inclusion of uniform reaction rates and more complex biochemical reactions described using Contois type kinetics. It is shown that the presence of reactions can result in a non‐uniform spatially varying species concentration field, the magnitude and extent of which is directly related to the reaction rates and the underlying variations in the local volumetric mass transfer coefficient.
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spelling pubmed-98937632023-02-06 Modeling multiphase fluid flow, mass transfer, and chemical reactions in bioreactors using large‐eddy simulation Hanspal, Navraj DeVincentis, Brian Thomas, John A. Eng Life Sci Research Articles We present a transient large eddy simulation (LES) modeling approach for simulating the interlinked physics describing free surface hydrodynamics, multiphase mixing, reaction kinetics, and mass transport in bioreactor systems. Presented case‐studies include non‐reacting and reacting bioreactor systems, modeled through the inclusion of uniform reaction rates and more complex biochemical reactions described using Contois type kinetics. It is shown that the presence of reactions can result in a non‐uniform spatially varying species concentration field, the magnitude and extent of which is directly related to the reaction rates and the underlying variations in the local volumetric mass transfer coefficient. John Wiley and Sons Inc. 2022-11-11 /pmc/articles/PMC9893763/ /pubmed/36751475 http://dx.doi.org/10.1002/elsc.202200020 Text en © 2022 The Authors. Engineering in Life Sciences published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Hanspal, Navraj
DeVincentis, Brian
Thomas, John A.
Modeling multiphase fluid flow, mass transfer, and chemical reactions in bioreactors using large‐eddy simulation
title Modeling multiphase fluid flow, mass transfer, and chemical reactions in bioreactors using large‐eddy simulation
title_full Modeling multiphase fluid flow, mass transfer, and chemical reactions in bioreactors using large‐eddy simulation
title_fullStr Modeling multiphase fluid flow, mass transfer, and chemical reactions in bioreactors using large‐eddy simulation
title_full_unstemmed Modeling multiphase fluid flow, mass transfer, and chemical reactions in bioreactors using large‐eddy simulation
title_short Modeling multiphase fluid flow, mass transfer, and chemical reactions in bioreactors using large‐eddy simulation
title_sort modeling multiphase fluid flow, mass transfer, and chemical reactions in bioreactors using large‐eddy simulation
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893763/
https://www.ncbi.nlm.nih.gov/pubmed/36751475
http://dx.doi.org/10.1002/elsc.202200020
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