TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publications
  4. Particle size segregation in bi and penta-disperse gas–solid fluidized beds: CFD-DEM and recurrence CFD simulations
 
Options

Particle size segregation in bi and penta-disperse gas–solid fluidized beds: CFD-DEM and recurrence CFD simulations

Citation Link: https://doi.org/10.15480/882.14976
Publikationstyp
Journal Article
Date Issued
2025-05-01
Sprache
English
Author(s)
Pirker, Stefan  
Atzori, Marco  
Heinrich, Stefan  
Feststoffverfahrenstechnik und Partikeltechnologie V-3  
Lichtenegger, Thomas  
TORE-DOI
10.15480/882.14976
TORE-URI
https://hdl.handle.net/11420/55017
Journal
Chemical engineering science  
Volume
309
Article Number
121469
Citation
Chemical Engineering Science 309: 121469 (2025)
Publisher DOI
10.1016/j.ces.2025.121469
Scopus ID
2-s2.0-86000366202
Publisher
Elsevier
We studied the time evolution of segregating particle fractions in gas–solid fluidized beds by unresolved CFD-DEM and data-based recurrence CFD (rCFD). First and foremost, we incorporated segregating particle fractions into rCFD by superposing a fractional drift velocity to the velocity of the solid bulk material. From an algorithmic viewpoint, fractional drift was implemented by discrete face swaps. We tested this novel rCFD approach with different superficial gas velocities and different bi-disperse bed inventories. rCFD predictions agreed very well with corresponding full CFD-DEM results with respect to the time-evolution of fractional centre-of-gravity as well as spatial line profiles of fractional mean volume fraction. In order to explore the validity range of the underlying databases, we intentionally ran rCFD at deviating conditions. In a first test, we showed that rCFD simulations could indicate regime-changing de-fluidization even if de-fluidization itself was not pictured in the database. In a second test, we performed penta-disperse rCFD simulations based on an equivalent bi-disperse database. Hereby, we found out that rCFD predictions were only accurate if the penta-disperse bed inventory did not lead to changing overall bed dynamics. Finally, we proved the feasibility of rCFD simulations of a granulation process featuring local particle growth as well as continuous feed input and product output. In all cases, rCFD simulations ran more than four orders of magnitude faster than corresponding CFD-DEM simulations, eventually allowing for real-time simulations of spatially resolved particle segregation in fluidized beds.
Subjects
Fluidized beds | Granulation process | Recurrence CFD | Segregation
DDC Class
620.1: Engineering Mechanics and Materials Science
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
Loading...
Thumbnail Image
Name

1-s2.0-S0009250925002921-main.pdf

Size

3.25 MB

Format

Adobe PDF

TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback