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CFD-DEM Evaluation of the Clustering Behavior in a Riser—the Effect of the Drag Force Model
[Image: see text] Riser reactors are frequently applied in catalytic processes involving rapid catalyst deactivation. Typically heterogeneous flow structures prevail because of the clustering of particles, which impacts the quality of the gas–solid contact. This phenomenon results as a competition b...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10655080/ https://www.ncbi.nlm.nih.gov/pubmed/38020786 http://dx.doi.org/10.1021/acs.iecr.3c00853 |
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author | Ramírez, Juan de Munck, Martijn Liu, Zhitao Rieder, David Raphael Baltussen, Maike Buist, Kay Kuipers, Johannes A. M. Hans |
author_facet | Ramírez, Juan de Munck, Martijn Liu, Zhitao Rieder, David Raphael Baltussen, Maike Buist, Kay Kuipers, Johannes A. M. Hans |
author_sort | Ramírez, Juan |
collection | PubMed |
description | [Image: see text] Riser reactors are frequently applied in catalytic processes involving rapid catalyst deactivation. Typically heterogeneous flow structures prevail because of the clustering of particles, which impacts the quality of the gas–solid contact. This phenomenon results as a competition between fluid–particle interaction (i.e., drag) and particle–particle interaction (i.e., collisions). In this study, five drag force correlations were used in a combined computational fluid dynamics–discrete element method Immersed Boundary Model to predict the clustering. The simulation results were compared with experimental data obtained from a pseudo-2D riser in the fast fluidization regime. The clusters were detected on the basis of a core–wake approach using constant thresholds. Although good predictions for the global (solids volume fraction and mass flux) variables and cluster (spatial distribution, size, and number of clusters) variables were obtained with two of the approaches in most of the simulations, all the correlations show significant deviations in the onset of a pneumatic transport regime. However, the correlations of Felice (Int. J. Multiphase Flow1994, 20, 153−159) and Tang et al. [AIChE J.2015, 61 ( (2), ), 688−698] show the closest correspondence for the time-averaged quantities and the clustering behavior in the fast fluidization regime. |
format | Online Article Text |
id | pubmed-10655080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-106550802023-11-17 CFD-DEM Evaluation of the Clustering Behavior in a Riser—the Effect of the Drag Force Model Ramírez, Juan de Munck, Martijn Liu, Zhitao Rieder, David Raphael Baltussen, Maike Buist, Kay Kuipers, Johannes A. M. Hans Ind Eng Chem Res [Image: see text] Riser reactors are frequently applied in catalytic processes involving rapid catalyst deactivation. Typically heterogeneous flow structures prevail because of the clustering of particles, which impacts the quality of the gas–solid contact. This phenomenon results as a competition between fluid–particle interaction (i.e., drag) and particle–particle interaction (i.e., collisions). In this study, five drag force correlations were used in a combined computational fluid dynamics–discrete element method Immersed Boundary Model to predict the clustering. The simulation results were compared with experimental data obtained from a pseudo-2D riser in the fast fluidization regime. The clusters were detected on the basis of a core–wake approach using constant thresholds. Although good predictions for the global (solids volume fraction and mass flux) variables and cluster (spatial distribution, size, and number of clusters) variables were obtained with two of the approaches in most of the simulations, all the correlations show significant deviations in the onset of a pneumatic transport regime. However, the correlations of Felice (Int. J. Multiphase Flow1994, 20, 153−159) and Tang et al. [AIChE J.2015, 61 ( (2), ), 688−698] show the closest correspondence for the time-averaged quantities and the clustering behavior in the fast fluidization regime. American Chemical Society 2023-05-30 /pmc/articles/PMC10655080/ /pubmed/38020786 http://dx.doi.org/10.1021/acs.iecr.3c00853 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Ramírez, Juan de Munck, Martijn Liu, Zhitao Rieder, David Raphael Baltussen, Maike Buist, Kay Kuipers, Johannes A. M. Hans CFD-DEM Evaluation of the Clustering Behavior in a Riser—the Effect of the Drag Force Model |
title | CFD-DEM Evaluation
of the Clustering Behavior in a
Riser—the Effect of the Drag Force Model |
title_full | CFD-DEM Evaluation
of the Clustering Behavior in a
Riser—the Effect of the Drag Force Model |
title_fullStr | CFD-DEM Evaluation
of the Clustering Behavior in a
Riser—the Effect of the Drag Force Model |
title_full_unstemmed | CFD-DEM Evaluation
of the Clustering Behavior in a
Riser—the Effect of the Drag Force Model |
title_short | CFD-DEM Evaluation
of the Clustering Behavior in a
Riser—the Effect of the Drag Force Model |
title_sort | cfd-dem evaluation
of the clustering behavior in a
riser—the effect of the drag force model |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10655080/ https://www.ncbi.nlm.nih.gov/pubmed/38020786 http://dx.doi.org/10.1021/acs.iecr.3c00853 |
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