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Journal ArticleDOI

Dynamic simulation of the centripetal packing of mono-sized spheres

TLDR
In this paper, a centripetal packing of mono-sized spherical particles is simulated by means of the granular dynamic or discrete element method, where the packing has a limit packing density of 0.637-0.645, an overall mean coordination number of around 6.0 and a radial distribution function of clear split second peak.
Abstract
This paper presents a study of the centripetal packing of mono-sized spherical particles simulated by means of the granular dynamic or discrete element method. A packing is formed by imposing an assumed centripetal force on particles randomly generated in a spherical space. Different from the conventional simulation techniques, dynamic information of individual particles including transient forces and trajectory is traced in the present simulation. Structural properties, such as packing density, radial distribution function, coordination number distribution and homogeneity, are analyzed, with particular reference to the effects of the magnitude of the centripetal force and the number of particles. Comparison with the literature results suggests that such a dynamic model can satisfactorily simulate the dynamics of forming a packing and produce more realistic structural information. In particular, it is confirmed that a centripetal packing is not homogeneous in structure, becoming looser as its size or the number of particles increases. The packing has a limit packing density of 0.637–0.645, an overall mean coordination number of around 6.0 and a radial distribution function of clear split second peak. The centripetal force affects the rate of densification and the mean coordination number but not packing density and radial distribution function.

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Citations
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Journal ArticleDOI

Discrete particle simulation of particulate systems: A review of major applications and findings

TL;DR: Zhu et al. as discussed by the authors provided a summary of the studies based on discrete particle simulation in the past two decades or so, with emphasis on the microdynamics including packing/flow structure and particle-particle, particle-fluid and particle wall interaction forces.
Journal ArticleDOI

Computer simulation of the packing of fine particles

TL;DR: It is shown that porosity increases with the decreases of particle size from about 100 to 1 &mgr;m and the simulated relationship can match the literature data well and in line with the increase in porosity, the first component of the split second peak and then the other peaks beyond the second one in the radial distribution function gradually vanish.
Journal ArticleDOI

Principles and implementations of dissipative (dynamic) self-assembly.

TL;DR: It is argued that a union of ideas from thermodynamics and dynamic systems' theory can provide a general description of DySA and heuristic design rules can be used to construct DySA systems of increasing complexities based on a variety of suitable interactions/potentials on length scales from nanoscopic to macroscopic.
Journal ArticleDOI

Jamming of frictional spheres and random loose packing

TL;DR: In this article, the role of the friction coefficient, μ, on the jamming properties of disordered, particle packings is studied using computer simulations, where compressed, soft-sphere packings are brought towards the jamging transition by decreasing the packing fraction.
Journal ArticleDOI

Lattice-Boltzmann simulation of fluid flow through packed beds of uniform spheres: Effect of porosity

TL;DR: In this paper, the effect of porosity on the internal fluid flow and quantify the drag force on particles in packed beds is studied by a parallel lattice Boltzmann (LB) model.
References
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Journal Article

Discrete numerical model for granular assemblies.

Peter Cundall, +1 more
- 01 Jan 1979 - 
TL;DR: The distinct element method as mentioned in this paper is a numerical model capable of describing the mechanical behavior of assemblies of discs and spheres and is based on the use of an explicit numerical scheme in which the interaction of the particles is monitored contact by contact and the motion of the objects modelled particle by particle.
Journal ArticleDOI

A discrete numerical model for granular assemblies

Peter Cundall, +1 more
- 01 Mar 1979 - 
TL;DR: The distinct element method as mentioned in this paper is a numerical model capable of describing the mechanical behavior of assemblies of discs and spheres and is based on the use of an explicit numerical scheme in which the interaction of the particles is monitored contact by contact and the motion of the objects modelled particle by particle.
Journal ArticleDOI

Discrete particle simulation of two-dimensional fluidized bed

TL;DR: In this paper, Cundall's Distinct Element Method (P.A.Cundall and O.L. Strack, 1979) is used to model contact forces between particles.
Journal ArticleDOI

Numerical simulation of the gas-solid flow in a fluidized bed by combining discrete particle method with computational fluid dynamics

TL;DR: In this article, a combined approach of discrete particle method and computational fluid dynamics (DPM-CFD), in which the motion of individual particles is obtained by solving Newton's second law of motion and gas flow by the Navier-Stokes equation based on the concept of local average, is presented.
Journal ArticleDOI

Random close packing of hard spheres and disks

TL;DR: In this paper, a simple definition of random close packing of hard spheres is presented, and the consequences of this definition are explored according to this definition, and lower bounds on the critical packing fraction for which the median nearest-neighbor radius equals the diameter of the spheres are obtained.
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