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Dataset . 2023
License: CC BY
Data sources: Datacite
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Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
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Data for the paper: Drag, lift and torque correlations for axi-symmetric non-spherical particles in locally non-uniform flows

Research datakeyboard_double_arrow_right Dataset 19 Apr 2023 English Publisher:Zenodo
Authors: Chéron, Victor; Evrard, Fabien; van Wachem, Berend;

doi: 10.5281/zenodo.7849290 , 10.5281/zenodo.8138344

Data for the paper: Drag, lift and torque correlations for axi-symmetric non-spherical particles in locally non-uniform flows

Abstract

These are the datafiles for the paper: Drag, lift and torque correlations for axi-symmetric non-spherical particles in locally non-uniform flows authored by: Victor Chéron, Fabien Evrard, and Berend van Wachem #Files Temporally averaged drag, lift and torque coefficients are written in .txt files stored in the folder ResultsCoefficients. Python scripts used to derive the correlations are stored in the folder PythonScript. Two simulations results are provided in the folder SimulationResult. This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project-ID 448292913.

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