Abstract
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.
Highlights
Introduction ticlesIn this sense, the rheology can be modelled by considering the behaviour of the flow [3]
The model was implemented in the framework of a VOF solver on the OpenFOAM(R) platform
The model was assessed for a two-dimensional silo discharge obtaining a good agreement against the reported results using DEM and Eulerian approaches in terms of pressure distribution and velocity fields
Summary
Introduction ticlesIn this sense, the rheology can be modelled by considering the behaviour of the flow [3]. The behaviour of the grains state, the kinetic theory of granular flow comes into place during discharge has been of interest for many decades [5]. This regime resembles the behaviour of a gas and can due to the wide range of regimes and phenomena involved be found in applications such as a pneumatic transport of [1]. There are two flow, the granular media presents a behaviour that resemmain branches available to study these problems by com- bles the flow of a liquid phase This type of regime cannot putational means: Eulerian and Lagrangian methods. The modelling of individual al. and Jop et al [6, 7] developed the μ(I)-rheology model particles in systems of the scale of industrial silos makes that seeks to model this intermediate state
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