Data for "Numerical Modelling of Inertial Fibre-like Particle Transport in Micron-scale Rough Horizontal Channel Flow"

This dataset contains simulation data corresponding to the numerical study presented in Numerical Modelling of Inertial Fibre-like Particle Transport in Micron-scale Rough Horizontal Channel Flow Authors: Manuel A. Taborda and Berend van Wachem Dataset Structure The dataset includes nine folders. Seven of them corresponds to a different simulation case including rough and smooth walls, as they are described in the paper, namely: CSpheres: Simulation with spheres CSpheresSmooth: Simulation with spheres and smooth wall CAR2.5: Simulations with elongated particles (fibres) with aspect ratio 2.5 CAR5: Simulations with elongated particles (fibres) with aspect ratio 5 CAR5Smooth: Simulations with elongated particles (fibres) with aspect ratio 5 and smooth wall CAR10: Simulations with elongated particles (fibres) with aspect ratio 10 CAR10Smooth: Simulations with elongated particles (fibres) with aspect ratio 10 and smooth wall Each case folder contains:Subdirectories: Fields: Fluid field data (e.g., velocity, pressure) DMs: Particle and domain-related metadata Meshes: Computational mesh files Particles: Lagrangian particle data Bodies: Lagrangian non-spherical particle data Visualization files: results.xmf: XMF wrapper for reading fluid data (velocity, pressure, fluid volume fraction) in ParaView results_DEM.xmf: XMF wrapper for particle data visualization (e.g., position, velocity) in ParaView results_bodies.xmf: XMF wrapper for non-spherical particle data visualization (e.g., position, velocity) in ParaView The folder "profiles" contains eight CSV files, corresponding to the post-processed simulation data obtained at the end of the simulation time. The folder "collisionData" contains three .txt files, corresponding to the data obtained during the fibre wall-collision. Furthermore, one python scripts which is used to post-process the profiles and reproduce the plots contained in the CSV files (plotProfiles.py), and another one to reproduce the collision statistics, orientation tensor and PDFs of the collisions (plotCollisionStatistics.py). Acknowledgements This research was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the Project-ID 448292913.