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Data and code for Reproducibility of GPU-Based Large Eddy Simulations for Mixing in Stirred Tank Reactors
Type
Simulation Data
Experimental Data
Source Code
Date Issued
2026-11-21
Abstract
This dataset contains experimental and numerical results supporting a 30 L stirred-tank mixing-time study conducted at the Institute of Multiphase Flows, Hamburg University of Technology (TUHH). It includes raw and processed measurements from laboratory mixing experiments, M-Star LBM-LES simulations, and complementary Fluent CFD runs.
The data are organized into subdirectories covering experimental probe time series, simulation outputs, post-processing scripts, and final compiled tables and figures used in the associated publication. Together, they enable the reproduction of key analyses on macro-scale flow dynamics, mixing-time evaluation, and grid-resolution sensitivity.
All files are documented with folder-level README files explaining their structure, naming conventions, and relevance to the published results.
Related Publication: https://doi.org/10.1016/j.compchemeng.2026.109615
Related Repository hosted by Darus: https://doi.org/10.18419/DARUS-5523
The data are organized into subdirectories covering experimental probe time series, simulation outputs, post-processing scripts, and final compiled tables and figures used in the associated publication. Together, they enable the reproduction of key analyses on macro-scale flow dynamics, mixing-time evaluation, and grid-resolution sensitivity.
All files are documented with folder-level README files explaining their structure, naming conventions, and relevance to the published results.
Related Publication: https://doi.org/10.1016/j.compchemeng.2026.109615
Related Repository hosted by Darus: https://doi.org/10.18419/DARUS-5523
Subjects
Mixing Time
Stirred Tank Reactor
Large Eddy Simulation
Lattice Boltzmann Method
CFD
M-Star
Fluent
Turbulent Mixing
Reproducibility
DDC Class
660.2: Chemical Engineering
Funding Organisations
More Funding Information
Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Germany - 427899833. Supported by the Dutch National Growth Fund Cellular Agriculture. International exchange funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Germany - SFB 1615 - 503850735. The use of computational resources of the DelftBlue supercomputer, provided by the Delft High Performance Computing Centre (https://www.tudelft.nl/dhpc), and the supercomputer Snellius (https://www.surf.nl/en/services/snellius-the-national-supercomputer) (Grant no. EINF-11590, Project: “CFD-derived data for surrogate models of bioreactors”) is acknowledged.