Issue |
EPJ Web Conf.
Volume 269, 2022
EFM19 – Experimental Fluid Mechanics 2019
|
|
---|---|---|
Article Number | 01074 | |
Number of page(s) | 5 | |
Section | Contributions | |
DOI | https://doi.org/10.1051/epjconf/202226901074 | |
Published online | 24 October 2022 |
https://doi.org/10.1051/epjconf/202226901074
Experimental determination of spatial distribution of granular fractions in flow of bimodal mixture
Czech Technical University in Prague, Faculty of Civil Engineering, 166 29 Prague 6, Czech Republic
* Corresponding author: stepan.zrostlik@fsv.cvut.cz
Published online: 24 October 2022
The contribution deals with the determination of the ratio of volumes of particles of individual fractions in flows transporting bimodal granular mixtures. The spatial distribution of the ratio is obtained by analyzing images collected by video recording. The measuring method and post-processing analysis are demonstrated on experiments in our new recirculating fluidization cell. The tested bimodal mixture is composed of two granular fractions of different colors – black and white. The analysis is based on a local identification of particles and their background in the collected images. More precisely, the identification of individual particles is based on the grayscale screening of the images. The method allows to identify both the instantaneous and time-averaged spacious distribution of the grain volume ratio. The experimental results reveal that the measuring method is successful if constant light condition is secured and the medium carrying particles is sufficiently transparent. The method is applicable to laboratory flows with sediment transport no matter whether sediment particles are transported as bed load or as suspended load.
© The Authors, published by EDP Sciences, 2022
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.