Data linked to the manuscript: Drag, lift, and torque coefficients of fixed axi-symmetric rod-like particles in linear wall-bounded shear flow Authors:Victor Cheron, Berend van Wachem Corresponding author:Berend.van.Wachem@gmail.com FilesTemporally averaged drag, lift and torque coefficients are written in .txt files stored in the folder ResultsCoefficients.Python scripts used to plot the correlations are stored in the folder PythonScript.Two simulation results are provided in the folder SimulationResults. Results and Coefficients The .txt files are split per coefficient, aspect ratio and shear rate, which can be identified by the name of the .txt file.The results obtained for the torque coefficient of the particle of aspect ratio 2.5 for a uniform flow configuration are given in the file:Uniform-Torque-Angles-Size2-5.txt The results obtained for the lift coefficient of the particle of aspect ratio 10 for a shear rate 0.2 configuration are given in the file:Shear02-Lift-Angles-Size10.txt In the files, the results are ordered per orientation angle and particle Reynolds number. PythonScripts The python scripts are split among three files:- Getter.py: this script reads the .txt files storing the coefficients.- ManuscriptCorrelations.py : this script returns the functions to read plot the correlations for the drag, lift and torque coefficients.- generalmain.py : calls the functions The scripts Getter.py and ManuscriptCorrelations.py are called from the script generalmain.py file. This will return a 1D column vector ordering the variables used to derive thecorrelations:- Coefficients- Reynolds number- Orientation Angle- Dimensionless distance to the wall- Aspect ratio Simulation Results A simulation result is provided:- Aspect ratio 5, particle Reynolds number 100, orientation angles 30 and 150, dimensionless distance 1. The data of all fields (pressure, velocity, source terms from the particles) are stored in .h-files. A .xmf reader is provided to read the simulation results in Paraview. Data for one converged simulation time are provided due to storage limits. AcknowledgmentsThis research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project-ID 448292913 and by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project-ID 422037413 - TRR 287.