Fluidization behavior of stirred gas–solid fluidized beds: A combined X-ray and CFD–DEM–IBM study

Stirred gas–solid fluidized bed reactors are commercially employed in polyolefin manufacturing, but the complex gas–solid contacting dynamics pose challenges in design, scale-up, and operation. In this study, the influence of agitation on the fluidization performance of Geldart B particles was investigated experimentally by X-ray imaging and pressure drop measurements and numerically by Computational Fluid Dynamics (CFD) - Discrete Element Method (DEM) - Immersed Boundary Method (IBM). The experimentally obtained minimum fluidization curve and time-averaged pressure drop show good qualitative agreement with the simulation results. Visual observations underscore that an increase in the angular velocity of the agitator results in reduced bubble size and improved bed homogeneity, as further evidenced by reduced pressure fluctuations. Furthermore, the simulations reveal that while the impeller enhances solids agitation, a proper design study is imperative, considering that static immersed bodies, such as the stirrer shaft, can adversely impact solids motion. • A novel CFD–DEM–IBM model is used to simulate stirred gas–solid fluidized beds. • The model is experimentally verified through X-ray imaging and pressure drop measurements. • Stirring improves bed homogeneity, but poor design may adversely impact solids motion.

Authors

Institutions

Publication Details

Journal
Chemical Engineering Journal
Published
2024-09-21
DOI
https://doi.org/10.1016/j.cej.2024.155944
Citations
9
Primary Topic
Granular flow and fluidized beds
Type
article
Field-Weighted Citation Impact
3.37

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fluidization behavior of stirred gas–solid fluidized beds: A combined X-ray and CFD–DEM–IBM study

E.A.J.F. Peters, Kaiqiao Wu, J. Ruud van Ommen, Evert C. Wagner et al.
9 citations
Chemical Engineering Journal
Granular flow and fluidized beds
3.37
article

Fluidization behavior of stirred gas–solid fluidized beds: A combined X-ray and CFD–DEM–IBM study

E.A.J.F. Peters, Kaiqiao Wu, J. Ruud van Ommen, Evert C. Wagner, M.J.A. de Munck, D.R. Rieder, J.A.M. Kuipers, Gabrie M.H. Meesters, P. Christian van der Sande, D.E.A. van den Eertwegh
article en
9 citations

Abstract

Stirred gas–solid fluidized bed reactors are commercially employed in polyolefin manufacturing, but the complex gas–solid contacting dynamics pose challenges in design, scale-up, and operation. In this study, the influence of agitation on the fluidization performance of Geldart B particles was investigated experimentally by X-ray imaging and pressure drop measurements and numerically by Computational Fluid Dynamics (CFD) - Discrete Element Method (DEM) - Immersed Boundary Method (IBM). The experimentally obtained minimum fluidization curve and time-averaged pressure drop show good qualitative agreement with the simulation results. Visual observations underscore that an increase in the angular velocity of the agitator results in reduced bubble size and improved bed homogeneity, as further evidenced by reduced pressure fluctuations. Furthermore, the simulations reveal that while the impeller enhances solids agitation, a proper design study is imperative, considering that static immersed bodies, such as the stirrer shaft, can adversely impact solids motion. • A novel CFD–DEM–IBM model is used to simulate stirred gas–solid fluidized beds. • The model is experimentally verified through X-ray imaging and pressure drop measurements. • Stirring improves bed homogeneity, but poor design may adversely impact solids motion.

Chemical Engineering JournalVol. 499
Eindhoven University of Technology (NL), Delft University of Technology (NL)
Ministerie van Economische Zaken, Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Openalex Percentile: Top 7%
Granular flow and fluidized beds
3.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.