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Persistent Identifier
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doi:10.18419/DARUS-4529 |
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Publication Date
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2025-04-30 |
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Title
| Data for: Lagrangian Sensor Particles for detecting hydrodynamic heterogeneities in industrial bioreactors - experimental analysis and Lattice-Boltzmann simulations |
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Author
| Hofmann, Sebastianhttps://ror.org/04bs1pb34ORCID0000-0002-4312-7402
Rautenbach, Ryanhttps://ror.org/04bs1pb34ORCID0000-0002-6943-2077
Buntkiel, Lukashttps://ror.org/01zy2cs03ORCID0000-0003-3721-489X
Brouwers, Isabel Sophiehttps://ror.org/04bs1pb34ORCIDhttps://orcid.org/0009-0006-9520-4189
Gaugler, Lenahttps://ror.org/04vnq7t77ORCID0000-0001-6817-9068
Barczyk, Jonashttps://ror.org/04vnq7t77ORCIDhttps://orcid.org/0009-0004-6287-3728
Fitschen, Jürgenhttps://ror.org/00q32j219ORCID0000-0002-1418-933X
Reinecke, Sebastian Felixhttps://ror.org/01zy2cs03ORCID0000-0003-2705-0692
Hoffmann, Markohttps://ror.org/04bs1pb34GND1032814101
Takors, Ralfhttps://ror.org/04vnq7t77ORCID0000-0001-5837-6906
Hampel, Uwehttps://ror.org/01zy2cs03ORCID0000-0002-7371-0148
Schlüter, Michaelhttps://ror.org/04bs1pb34ORCID0000-0001-5969-2150 |
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Point of Contact
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Use email button above to contact.
Hofmann, Sebastian (Hamburg University of Technology, TUHH)
Hoffmann, Marko (Hamburg University of Technology, TUHH)
Schlüter, Michael (Hamburg University of Technology, TUHH) |
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Description
| This DaRUS repository entails the raw files and result files (excluding MATLAB code files, see Gitlab repository including documentation) for the publication "Lagrangian Sensor Particles for detecting hydrodynamic heterogeneities in industrial bioreactors: experimental analysis and Lattice-Boltzmann simulations" in the journal "Chemical Engineering Journal Advances".
Abstract:
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) 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 $\Theta_\mathrm{glob,95} \approx 3.0\cdot \overline{t}_\mathrm{circ}$ for LSP,exp, which largely corresponds to literature results. A theoretical LSP size of $d_\mathrm{p,th} \approx 1\,\mathrm{mm}$ 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 $St \approx 0.2$ and $St \approx 0.002$, 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. (2025-02-20) |
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Subject
| Engineering; Physics |
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Keyword
| Lagrangian Sensor Particle Tracking
Resolved particle Lattice-Boltzmann simulation
Flow-Following Sensor Devices
Trajectory http://www.wikidata.org/entity/Q193139 (Wikidata)
Stirred Tank Reactor http://data.loterre.fr/ark:/67375/37T-KJZ6RM64-F (Loterre Chemistry Vocabulary)
Mixing Time http://data.loterre.fr/ark:/67375/37T-NPMZ946F-0 (Loterre Chemistry Vocabulary) |
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Topic Classification
| Statistical Physics, Nonlinear Dynamics, Complex Systems, Soft and Fluid Matter, Biological Physics (DFGFO) https://w3id.org/dfgfo/2024/322
Biological and Biomimetic Chemistry (DFGFO) https://w3id.org/dfgfo/2024/315-01
Developmental Biology (DFGFO) https://w3id.org/dfgfo/2024/211-06 |
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Related Publication
| S. Hofmann, R. Rautenbach, L. Buntkiel, I. S. Brouwers, L. Gaugler, J. Barczyk, J. Fitschen, S. F. Reinecke, M. Hoffmann, R. Takors, U. Hampel, M. Schlüter, Lagrangian Sensor Particles for detecting hydrodynamic heterogeneities in industrial bioreactors: experimental analysis and Lattice-Boltzmann simulations, Chemical Engineering Journal Advances (2025). doi 10.1016/j.ceja.2025.100744 https://doi.org/10.1016/j.ceja.2025.100744 |
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Language
| English |
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Production Date
| 2024-10-13 |
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Production Location
| Hamburg University of Technology; Helmholtz-Zentrum Dresden-Rossendorf |
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Contributor
| Project Leader: Hofmann, Sebastian |
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Funding Information
| DFG: InterZell, SPP 2170: 42789983
Federal Ministry of Food and Agriculture (BMEL): SensOMix project: FKZ 2219NR390
Federal Ministry of Food and Agriculture (BMEL): Neobio project: FKZ 22032618
Helmholtz Association Initiative and Networking Fund: Clean Water Technology Lab (CLEWATEC): HIL-A02
Hamburg University of Technology: Funding Programme Open Access Publishing: OA21/2025 |
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Depositor
| Hofmann, Sebastian |
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Deposit Date
| 2024-10-13 |
