Code for: Lagrangian sensors in a stirred tank reactor: Comparing trajectories of 4D-Particle Tracking Velocimetry and Lattice-Boltzmann simulations

Version 1.0
Code for: Lagrangian sensors in a stirred tank reactor: Comparing trajectories of 4D-Particle Tracking Velocimetry and Lattice-Boltzmann simulations
Hofmann, Sebastian; Weiland, Christian; Fitschen, Jürgen; von Kameke, Alexandra; Hoffmann, Marko; Schlüter, Michael, 2022, "Code for: Lagrangian sensors in a stirred tank reactor: Comparing trajectories of 4D-Particle Tracking Velocimetry and Lattice-Boltzmann simulations", https://doi.org/10.18419/darus-2294, DaRUS, V1
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Description
This dataset entails exemplary segments of raw data and MATLAB code that implements the following topics: (1) Raw data handling of the output files of DaVis (4D-PTV) and M-Star (Lattice-Boltzmann Large Eddy Simulation) for particle tracking in a stirred tank reactor, (2) Lagrangian evaluations of velocity and acceleration (3) Eulerian evaluations of Reynolds particle numbers and Stokes numbers and (4) additional calculations and evaluations based on numerically determined data to complement experimental data. The code was written by Sebastian Hofmann and Christian Weiland in the context of the DFG funded priority program SPP 2170 "InterZell" for the herein mentioned publication. All data can also be accessed and collaboratively developed at https://collaborating.tuhh.de/SebastianHofmannIMS/cej-data-4dptv-lbsimu. (2022-05-17)
Subject Engineering; Physics
Keyword Particle Tracking Velocimetry, Lattice Boltzmann Methods, Lagrangian Sensor Particle Tracking, Flow-Following Sensor Devices, CFD, Computational Fluid Dynamics, Trajectories
Related Publication Hofmann, S., Weiland, C., Fitschen, J., von Kameke, A., Hoffmann, M., Schlüter, M., 2022. Lagrangian sensors in a stirred tank reactor: Comparing trajectories from 4D-Particle Tracking Velocimetry and Lattice-Boltzmann simulations. Chemical Engineering Journaldoi: 10.1016/j.cej.2022.137549
Data Generation Simulation; Experiment
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CC BY 4.0

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loadDat_experimental_server_particles.m
data/code/3.0_raw_data_handling/1_load_data/Plain Text - 6.9 KB
Published Jun 24, 2022
44 Downloads
MD5: 6a901a0aafd09f05c52b4b650aa5f46b
Load raw *.dat file, created by DaVis 10.1.2.73698 after Shake-the-Box processing step (tecplot export to .dat)
Preview "data/code/3.0_raw_data_handling/1_load_data/loadDat_experimental_server_particles.m"
loadDat_simulation_local_flowtracer.m
data/code/3.0_raw_data_handling/1_load_data/Plain Text - 5.3 KB
Published Jun 24, 2022
19 Downloads
MD5: 9d6c382b1ac1e3f65d19cbb4c4158838
Load raw merged *.txt file, created by simulation in M-Star, ONLY flow tracer here
Preview "data/code/3.0_raw_data_handling/1_load_data/loadDat_simulation_local_flowtracer.m"
loadDat_simulation_local_particles.m
data/code/3.0_raw_data_handling/1_load_data/Plain Text - 5.6 KB
Published Jun 24, 2022
21 Downloads
MD5: e2a82f51fad74c9e07859d642c9b2b74
Load raw merged *.txt file, created by simulation in M-Star; no export of acceleration magnitude, needs to be calculated additionally
Preview "data/code/3.0_raw_data_handling/1_load_data/loadDat_simulation_local_particles.m"
add_acceleration_to_sim_tracer.m
data/code/3.0_raw_data_handling/2_data_preparation/MATLAB Source Code - 4.4 KB
Published Jun 24, 2022
8 Downloads
MD5: 0933e9e05c3341305d13841072a06ae3
Load .mat from "loadDat_simulation_local_flowtracer.m"; here are theoretical accelerations calculated for flow tracers, since they have obviously no mass (for comparison in statistics)
pie_piece_from_loadDat_exp_sim.m
data/code/3.0_raw_data_handling/2_data_preparation/MATLAB Source Code - 3.0 KB
Published Jun 24, 2022
9 Downloads
MD5: 629f1e8e9624ce79d5dd44ea2ed9e945
Load processed .mat file from "loadDat...m"; Output is Lagrangian data from a "pie piece" out of the cylindrical reactor with defined angle
y_cut_data_exp_sim.m
data/code/3.0_raw_data_handling/2_data_preparation/MATLAB Source Code - 2.3 KB
Published Jun 24, 2022
10 Downloads
MD5: 4d4348fc940d6b04a0df9aae14ec28cd
Load processed .mat file from "loadDat...m" with separated vectors; this processing script is solely intended for evaluations of single-point statistics (Lagrangian data)
Alginate_particle_size_density_distribution_figure18.m
data/code/3.0_raw_data_handling/3_raw_data_statistics/Plain Text - 5.3 KB
Published Jun 24, 2022
21 Downloads
MD5: d1dfc3c36b2081311d0f8934376bc9a7
Output is particle size distribution to show difference between oblate and prolate ellipsoidal calculation
Preview "data/code/3.0_raw_data_handling/3_raw_data_statistics/Alginate_particle_size_density_distribution_figure18.m"
DaVis_STBrun_statistics_figure16.m
data/code/3.0_raw_data_handling/3_raw_data_statistics/Plain Text - 3.8 KB
Published Jun 24, 2022
22 Downloads
MD5: 9daee75b13f27ef7086094bde302585f
Import all *.csv data first from DaVis (statistics from current STB run) and create statistic plot
Preview "data/code/3.0_raw_data_handling/3_raw_data_statistics/DaVis_STBrun_statistics_figure16.m"
Distribution_track_length_mean_median_figure17.m
data/code/3.0_raw_data_handling/3_raw_data_statistics/Plain Text - 6.5 KB
Published Jun 24, 2022
13 Downloads
MD5: eb944960213fff28963aa71d786f79e5
Output is a distribution of track length from "loadDat_experimental_server_particles.m"
Preview "data/code/3.0_raw_data_handling/3_raw_data_statistics/Distribution_track_length_mean_median_figure17.m"
parfor_progressbar.m
data/code/3.0_raw_data_handling/4_parfor_progressbar/Plain Text - 4.9 KB
Published Jun 24, 2022
32 Downloads
MD5: a68e2c93758b16c16455e047c210d5f8
Progress bar suitable for multi-process computation. Copyright 2015-2016 Cornell University All Rights Reserved.
Preview "data/code/3.0_raw_data_handling/4_parfor_progressbar/parfor_progressbar.m"
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