Issue |
EPJ Web Conf.
Volume 249, 2021
Powders & Grains 2021 – 9th International Conference on Micromechanics on Granular Media
|
|
---|---|---|
Article Number | 03020 | |
Number of page(s) | 4 | |
Section | Granular Flow | |
DOI | https://doi.org/10.1051/epjconf/202124903020 | |
Published online | 07 June 2021 |
https://doi.org/10.1051/epjconf/202124903020
Improved evaluation of granular media flows using an X-ray scanning compatible cone-plate setup
1
Physical Chemistry and Soft Matter, Wageningen University & Research, Stippeneng 4, 6708 WE Wageningen, the Netherlands
2
Institute of Physics, Otto von Guericke University, Magdeburg, Germany
3
Inst. of Fluid Dynamics, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
Published online: 7 June 2021
To understand the typically heterogeneous flowing behavior of granular materials, it is important to combine flow tests with three-dimensional imaging. To probe the flow behavior of granular materials over a wide range of flow rates, it is imperative to be able to impose such flow rates in a well controlled manner while performing imaging tests that are compatible with all imposed flow rates. Achieving both flow control and bulk imaging capacity is challenging for a number of reasons. Here, we describe the design of a setup in which we are able to do imaging while imposing a constant overall shear rate on a granular material. We characterize the setup in which flow tests will be performed, which consists of a bottom-driven cone-plate or double-cone design. We show that the setup can be integrated in x-ray microtomography devices to aid particle tracking based flow measurements. The design is also compatible with typical rheometer setups. We also perform high speed imaging of a granular flow in an ultra-fast x-ray scanner, for which we provide proof-of-principle data in a simplified shear setup. The designed flow geometry is also compatible with said high speed imaging facility, where particle image velocimetry can be employed to extract quantitative flow field data.
A video is available at https://doi.org/10.48448/958j-c694
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.