%0 Generic %1 hofmann2025lagrangian %A Hofmann, Sebastian %A Rautenbach, Ryan %A Buntkiel, Lukas %A Brouwers, Isabel Sophie %A Gaugler, Lena %A Barczyk, Jonas %A Fitschen, Jürgen %A Reinecke, Sebastian Felix %A Hoffmann, Marko %A Takors, Ralf %A Hampel, Uwe %A Schlüter, Michael %D 2025 %K darus ubs_10004 ubs_20005 ubs_30053 ubs_40077 unibibliografie %R 10.18419/darus-4529 %T Data for: Lagrangian Sensor Particles for detecting hydrodynamic heterogeneities in industrial bioreactors - experimental analysis and Lattice-Boltzmann simulations %X 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 $\Theta_glob,95 3.0t_circ$ for LSP,exp, which largely corresponds to literature results. A theoretical LSP size of $d_p,th 1\,mm$ 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 $St 0.2$ 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.

@misc{hofmann2025lagrangian, abstract = {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. }, added-at = {2025-05-05T13:38:14.000+0200}, affiliation = {Hofmann, Sebastian/Hamburg University of Technology, Rautenbach, Ryan/Hamburg University of Technology, Buntkiel, Lukas/Helmholtz-Zentrum Dresden-Rossendorf, Brouwers, Isabel Sophie/Hamburg University of Technology, Gaugler, Lena/University of Stuttgart, Barczyk, Jonas/University of Stuttgart, Fitschen, Jürgen/Boehringer Ingelheim (Germany), Reinecke, Sebastian Felix/Helmholtz-Zentrum Dresden-Rossendorf, Hoffmann, Marko/Hamburg University of Technology, Takors, Ralf/University of Stuttgart, Hampel, Uwe/Helmholtz-Zentrum Dresden-Rossendorf, Schlüter, Michael/Hamburg University of Technology}, author = {Hofmann, Sebastian and Rautenbach, Ryan and Buntkiel, Lukas and Brouwers, Isabel Sophie and Gaugler, Lena and Barczyk, Jonas and Fitschen, Jürgen and Reinecke, Sebastian Felix and Hoffmann, Marko and Takors, Ralf and Hampel, Uwe and Schlüter, Michael}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/20c90c779c1cab76392a4e96f4c2d72f1/unibiblio}, doi = {10.18419/darus-4529}, howpublished = {Software}, interhash = {88e217bde7d3a963330c525af31d9684}, intrahash = {0c90c779c1cab76392a4e96f4c2d72f1}, keywords = {darus ubs_10004 ubs_20005 ubs_30053 ubs_40077 unibibliografie}, note = {Related to: 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}, orcid-numbers = {Hofmann, Sebastian/0000-0002-4312-7402, Rautenbach, Ryan/0000-0002-6943-2077, Buntkiel, Lukas/0000-0003-3721-489X, Brouwers, Isabel Sophie/https://orcid.org/0009-0006-9520-4189, Gaugler, Lena/0000-0001-6817-9068, Barczyk, Jonas/https://orcid.org/0009-0004-6287-3728, Fitschen, Jürgen/0000-0002-1418-933X, Reinecke, Sebastian Felix/0000-0003-2705-0692, Takors, Ralf/0000-0001-5837-6906, Hampel, Uwe/0000-0002-7371-0148, Schlüter, Michael/0000-0001-5969-2150}, timestamp = {2025-05-05T13:38:14.000+0200}, title = {Data for: Lagrangian Sensor Particles for detecting hydrodynamic heterogeneities in industrial bioreactors - experimental analysis and Lattice-Boltzmann simulations}, year = 2025 }