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. Lagrangian sensor particles for detecting hydrodynamic heterogeneities in industrial bioreactors: experimental analysis and Lattice-Boltzmann simulations
 
Options

Lagrangian sensor particles for detecting hydrodynamic heterogeneities in industrial bioreactors: experimental analysis and Lattice-Boltzmann simulations

Citation Link: https://doi.org/10.15480/882.15139
Publikationstyp
Journal Article
Date Issued
2025-04-19
Sprache
English
Author(s)
Hofmann, Sebastian  orcid-logo
Mehrphasenströmungen V-5  
Rautenbach, Ryan  
Mehrphasenströmungen V-5  
Buntkiel, Lukas  
Brouwers, Isabel Sophie  
Gaugler, Lena  
Barczyk, Jonas  
Fitschen, Jürgen  
Mehrphasenströmungen V-5  
Reinecke, Sebastian Felix  
Hoffmann, Marko  
Mehrphasenströmungen V-5  
Takors, Ralf  
Hampel, Uwe  
Schlüter, Michael  orcid-logo
Mehrphasenströmungen V-5  
TORE-DOI
10.15480/882.15139
TORE-URI
https://hdl.handle.net/11420/55515
Journal
Chemical engineering journal advances  
Volume
22
Article Number
100744
Citation
Chemical Engineering Journal Advances 22: 100744 (2025)
Publisher DOI
10.1016/j.ceja.2025.100744
Scopus ID
2-s2.0-105003463790
Publisher
Elsevier
This study analyzes trajectories of three particle types in an industrial-scale bioreactor, equipped with a Rushton turbine and a pitched blade turbine, to characterize hydrodynamic compartments. The trajectories obtained from measurements with Lagrangian Sensor Particles (LSP,exp) are compared to those generated by Lattice-Boltzmann large eddy simulations (LB LES). The latter method is used to reproduce analogous simulated LSPs (LSP,sim) as resolved particles. Additionally, for benchmarking purposes, massless tracer particles (tracer,sim) are incorporated to accurately represent fluid flow dynamics. Discrepancies in the axial probability of presence and velocity between LSP,exp and LSP,sim likely stem from differences in mass distribution, density, number of particles, and ratio of particle size to grid. A necessarily high LSP,sim volume fraction in LB LES leads to increased collisions and clustering, negatively impacting flow dynamics, and reducing turbulent kinetic energy by at least 3%. Circulation and residence time distributions for the three types of particles identify three hydrodynamic compartments within the bioreactor, validated by local mixing time distributions. The ratio of overall average circulation time to global mixing time is Θglob,95≈3.0⋅t¯circ for LSP,exp, which largely corresponds to literature results. A theoretical LSP size of dp,th≈1mm is estimated to be flow following on micro-scale in the bulk phase, if a Stokes number of St=0.1 is assumed. However, Stokes number estimations confirm that LSP,exp are capable to follow flow patterns on the meso-scale and macro-scale with St≈0.2 and St≈0.002, respectively. Hence, hydrodynamic structures at length scales greater than or equal to the size of the impeller can be investigated by current state-of-the-art LSPs, which proves their technological readiness for industrial bioreactors.
Subjects
Compartments | Global and local mixing time | Industrial-scale stirred tank reactor | Lagrangian Sensor Particles | Resolved particle Lattice-Boltzmann large eddy simulation
DDC Class
660.6: Biotechnology
621: Applied Physics
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
Loading...
Thumbnail Image
Name

1-s2.0-S2666821125000419-main.pdf

Type

Main Article

Size

7.3 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