Workflow for computational fluid dynamics modeling of fixed‐bed reactors packed with metal foam pellets: Hydrodynamics

In recent years, the catalyst pellets made of open‐cell metallic foams have been identified as a promising alternative in fixed‐bed reactors. A reliable modeling tool is necessary to investigate the suitability of different foam properties and the shapes of foam pellets. In this article, a workflow...

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Bibliographic Details
Published in:AIChE journal Vol. 69; no. 1
Main Authors: George, Ginu R., Bockelmann, Marina, Schmalhorst, Leonhard, Beton, Didier, Gerstle, Alexandra, Torkuhl, Lars, Lindermeir, Andreas, Wehinger, Gregor D.
Format: Journal Article
Language:English
Published: Hoboken, USA John Wiley & Sons, Inc 01.01.2023
American Institute of Chemical Engineers
Subjects:
Catalysts
CFD
Computational fluid dynamics
Computer applications
fixed‐bed reactor
Flow characteristics
Fluid dynamics
Fluid flow
Foamed metals
Foams
Hydrodynamics
Mathematical models
Metal foams
open‐cell metal foam
Packed beds
Pellets
Porous media
Pressure drop
Reactors
Rigid-body dynamics
Workflow
ISSN:0001-1541, 1547-5905
Online Access:Get full text
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Summary:In recent years, the catalyst pellets made of open‐cell metallic foams have been identified as a promising alternative in fixed‐bed reactors. A reliable modeling tool is necessary to investigate the suitability of different foam properties and the shapes of foam pellets. In this article, a workflow for a detailed computational fluid dynamics (CFD) model is presented, which aims to study the flow characteristics in the slender packed beds made of metal foam pellets. The CFD model accounts for the actual random packing structure and the fluid flow throughout the interstitial regions is fully resolved, whereas flow through the porous foam pellets is represented by the closure equations for the porous media model. The bed structure is generated using rigid body dynamics (RBD) and the influence of the catalyst loading method is also considered. The mean bed voidage and the pressure drop predicted by the simulations show good agreement with the experimental data.
Bibliography:Funding information
Federal Ministry for Economic Affairs and Energy, Grant/Award Number: ZF 4640501VS8
ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:0001-1541
1547-5905
DOI:10.1002/aic.17284