The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/21679796

Hogendoorn, Willian; Breugem, Wim-Paul; Poelma, Christian; Frank, David; Bruschewski, Martin et. al. (2023): Data underlying the research of particle-laden pipe flow by MRI and DNS. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21679796.v1

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Categories

• Mechanical Engineering
• Engineering

Keywords

Concentration profiles DNS MRI particle-laden flows pipe flow suspensions Velocity profiles

Licence

CC BY 4.0

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by Willian Hogendoorn , Wim-Paul Breugem , Christian Poelma , David Frank, Martin Bruschewski, Sven Grundmann

This data set contains bulk velocity normalised intrinsic liquid velocity (U) and solid volume fraction (C) profiles for particle-laden pipe flows for six different cases. This data is obtained using Magnetic Resonance Imaging/Velocimetry (MRI/V) and Direct Numerical Simulations (DNS). The data corresponds to the paper (Fig. 6): "From nearly homogeneous to core-peaking suspensions: insight in suspension pipe flows using MRI and DNS" by Hogendoorn et al. 

History

• 2023-12-11 first online, published, posted

Publisher

4TU.ResearchData

Format

.txt files with velocity and concentration profiles

Funding

• Flows Unveiled: Multimodal Measurement in Opaque Two-Phase Flows (grant code 725183) [more info...] European Research Council
• Numerical simulation of complex flows in complex geometries (grant code 2023.009) NWO

Organizations

Delft University of Technology, Faculty of Mechanical Engineering (ME), Department of Process & Energy;
Rostock University, Lehrstuhl für fur Strömungsmechanik