Issue |
EPJ Web Conf.
Volume 249, 2021
Powders & Grains 2021 – 9th International Conference on Micromechanics on Granular Media
|
|
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Article Number | 03032 | |
Number of page(s) | 4 | |
Section | Granular Flow | |
DOI | https://doi.org/10.1051/epjconf/202124903032 | |
Published online | 07 June 2021 |
https://doi.org/10.1051/epjconf/202124903032
The performance of the µ(I)-rheology model on flat bottom silos discharge
1
Centro de Investigación en Métodos Computacionales (CIMEC), CONICET
2
Universidad de Buenos Aires, Facultad de Ingeniería, Grupo de Medios Porosos, Buenos Aires, Argentina
3
Universidad Nacional de Rosario, Facultad de Ciencias Exactas, Ingeniería y Agrimensura, Escuela de Ingeniería Mecánica, Rosario, Argentina
4
Universidad Nacional del Litoral, Facultad de Ingeniería y Ciencias Hídricas, Santa Fe, Argentina
5
Universidad Tecnológica Nacional, Facultad Regional Santa Fe, Santa Fe, Argentina
* e-mail: cesarvenier@gmail.com
Published online: 7 June 2021
The aim of this work is to explore the capability of the µ(I)-rheology model and its numerical implementation in addressing a silo discharge problem by computational simulation. In order to do so, the model was implemented in the general structure of an Eulerian multiphase solver based on the Volume-Of-Fluid (VOF) method of the OpenFOAM(R) suite. First, the implementation is validated against the results of another Lagrangian and Eulerian codes in a two-dimensional discharge problem. After that, the model is tested against the experimental results of a lab-scale and industrial-scale discharge problem. While the results of the first one were satisfactory in terms of discharge rate, for the latter one, the model exhibits disagreements in the flow patterns inside the silo. The study shows the limits of applicability of the standard formulation of the model for real scale silos and sets the ground for further discussion and improvements.
A video is available at https://doi.org/10.48448/7mpz-2d80
© 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.
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