scholarly journals Quasithermal Effects During Rapid Gravity Flow of a Granular Medium

Author(s):  
V.N. Dolgunin ◽  
◽  
O.O. Ivanov ◽  
S.A. Akopyan ◽  
◽  
...  

The investigation results of granular temperature during rapid gravity flow of granular medium on a rough chute are discussed. The granular temperature is determined as the kinetic energy of several forms of mutual displacements of particles. The influence of the chute angle on the value ratio of different components of granular temperature is analyzed. The components of granular temperature induced by fluctuation, shear and transversal mutual displacements of particles were taken into account.

2005 ◽  
Vol 39 (5) ◽  
pp. 548-554 ◽  
Author(s):  
V. N. Dolgunin ◽  
V. Ya. Borshchev ◽  
P. A. Ivanov
Keyword(s):  

Author(s):  
Jon Kadish ◽  
Esteban Rougier ◽  
Ante Munjiza ◽  
J.R Barber

There is theoretical and observational evidence that asteroids and comets are conglomerations of particles ranging in size from dust grains to boulders. It is well known that energy added to such systems is dissipated by friction, plasticity and fracture. In addition to these physical phenomena, we find that energy can be dissipated in the form of particle kinetic energy due to random velocity distributions. ‘Dissipation’ in this manner is measured by what is called a granular temperature owing to its similarities with kinetic gas theory. This work has implications on our understanding of the growth of asteroids and comets.


2014 ◽  
Vol 742 ◽  
pp. 368-424 ◽  
Author(s):  
Rodney O. Fox

AbstractStarting from a kinetic theory (KT) model for monodisperse granular flow, the exact Reynolds-averaged (RA) equations are derived for the particle phase in a collisional fluid–particle flow. The corresponding equations for a constant-density fluid phase are derived from a model that includes drag and buoyancy coupling with the particle phase. The fully coupled macroscale/hydrodynamic model, rigorously derived from a kinetic equation for the particles, is written in terms of the particle-phase volume fraction, the particle-phase velocity and the granular temperature (or total granular energy). As derived from the hydrodynamic model, the RA turbulence model solves for the RA particle-phase volume fraction, the phase-averaged (PA) particle-phase velocity, the PA granular temperature and the PA turbulent kinetic energy of the particle phase. Thus, unlike in most previous derivations of macroscale turbulence models for moderately dense granular flows, a clear distinction is made between the PA granular temperature $\Theta _\textit {p}$, which appears in the KT constitutive relations, and the particle-phase turbulent kinetic energy $k_\textit {p}$, which appears in the turbulent transport coefficients. The exact RA equations contain unclosed terms due to nonlinearities in the hydrodynamic model and we briefly discuss the available closures for these terms. Finally, we demonstrate by comparing model predictions with direct numerical simulation results that even for non-collisional fluid–particle flows it is necessary to provide separate models for $\Theta _\textit {p}$ and $k_\textit {p}$ in order to correctly account for the effect of the particle Stokes number and mass loading.


Author(s):  
Jesse Capecelatro ◽  
Olivier Desjardins ◽  
Rodney O. Fox

Starting from the kinetic theory (KT) model for monodisperse granular flow, the exact Reynolds-average (RA) equations were recently derived for the particle phase in a collisional gas-particle flow by Fox [1]. The turbulence model solves for the RA particle volume fraction, the phase-average (PA) particle velocity, the PA granular temperature, and the PA particle turbulent kinetic energy (TKE). A clear distinction is made between the PA granular temperature, which appears in the kinetic theory constitutive relations, and the particle-phase turbulent kinetic energy, which appears in the turbulent transport coefficients. Mesoscale direct numerical simulation (DNS) can be used to assess the validity of the closures proposed for the unclosed terms that arise due to nonlinearities in the hydrodynamic model. In order to extract meaningful statistics from simulation results, a separation of length scales must be established to distinguish between the PA particle TKE and the PA granular temperature. In this work, we introduce an adaptive spatial filter with an averaging volume that varies with the local particle-phase volume fraction. This filtering approach ensures sufficient particle sample sizes in order to obtain meaningful statistics while remaining small enough to avoid capturing variations in the mesoscopic particle field. Two-point spatial correlations are computed to assess the validity of the filter in extracting meaningful statistics. The filtering approach is applied to fully-developed cluster-induced turbulence (CIT), where the production of fluid-phase kinetic energy results entirely from momentum coupling with finite-size inertial particles. Simulation results show a strong correlation between the local volume fraction and granular temperature, with maximum values located just upstream of clusters (i.e., where maximum compressibility of the particle velocity field exists), and negligible particle agitation is observed within clusters.


2000 ◽  
Vol 34 (5) ◽  
pp. 500-501
Author(s):  
V. I. Ryazhskikh ◽  
Yu. V. Chernukhin

1985 ◽  
Vol 52 (1) ◽  
pp. 172-178 ◽  
Author(s):  
C. S. Campbell ◽  
C. E. Brennen

A computer simulation has been developed to describe unidirectional flows of granular materials. Results are presented for a simulation of the two-dimensional flow of disks or cylinders down an inclined plane or chute. Velocity and solid fraction profiles were measured from the simulated systems and compared with theoretical analyses and are compared with the limited experimental results now available. The behavior is shown to be critically dependent on a third field quantity—the “granular temperature”—a measure of the kinetic energy contained in the random motions of the particles.


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