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Computational fluid dynamics (CFD) is used in this study to model the granular flow in a vertical high shear mixer granulator.
DEM is employed to model the granular particle phase while classical CFD is used to simulate the fluid flow by solving the Volume Averaged Navier-Stokes (VANS) equations.
DEM is employed to model the granular particle system, whilst the CFD is used to simulate the fluid flow by solving the locally averaged Navier Stokes equation.
In this work; the finite element method is used to model the structure of the tipper body and the discrete element method is used to model the granular material.
For this reason, in the model the granular mass is generated just in front of the obstacle; its initial volume, velocity distribution, height, length and porosity are assigned as initial conditions.
We use discrete element and combined finite-discrete element methods to model the granular solid skeleton of randomly packed units coupled to a CFD code which resolves the wave dynamics through an interface tracking technique.
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In this report, an estimate of the defluidization velocity is developed using a two-particle collision model and a model for the granular energy of the bed.
This model approach uses the modified mixture model with the granular option and Reynolds stress model (RSM) to resolve the turbulent mixing of the particles.
The model approach uses the Mixture model with the granular options and large eddy simulation (LES) to resolve the turbulent mixing of the particles.
The model used is the two-fluid Eulerian-Eulerian model with the granular temperature to tackle the solid phase properties.
An elastoplastic model describes the granular fill, while the host rock is simulated by a damage model.
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