Elsevier

Powder Technology

Volume 248, November 2013, Pages 121-130
Powder Technology

Analysis of the forces in ordered FCC packings with different orientations

https://doi.org/10.1016/j.powtec.2013.01.064Get rights and content

Abstract

Ordered packing of hard spheres, namely {111}- and {100}-oriented FCC, is numerically generated by means of Discrete Element Method (DEM). The probability density distribution P(F) and transmission of interparticle forces in such a packing is analyzed in detail. It is shown that P(F) can be described by a symmetric distribution irrespective of the orientation, consistent with the literature findings. However, different orientations lead to different force transmissions because of the effect of gravity and stability requirement. In the {111}-oriented FCC, forces transmit both horizontally (in-plane) and vertically (inter-plane), while only vertical inter-plane forces are observed in the {100}-oriented FCC. The analysis on the two resulting sandpiles shows that a force peak exists at the position right under the sandpile apex.

Graphical abstract

The probability density distribution and transmission of interparticle forces in the FCC packing are analyzed in detail. It is found that different orientations lead to different force transmissions: forces transmit both horizontally (in-plane) and vertically (inter-plane) in the {111}-oriented FCC (left), but only vertically in the {100}-oriented FCC (right).

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Highlights

► DEM has been used to generate {111}- and {100}-oriented FCC packings. ► The force transmission is examined in relation to the packing structure. ► The interparticle forces of the two ordered packing are statistically quantified. ► The two resulting sandpiles are shown to have a force peak under their apex.

Introduction

Packing of particles is important to scientific research and industrial applications [1], [2], [3], [4], [5], [6]. Its study has a long history dating back to the Kepler conjecture proposed about four hundred years ago. Since the pioneer work of Bernal [1], particle packing has attracted enormous interests from various fields, such as physics, chemistry, materials and biology [4], [5], [6]. Some modern studies have recently been reviewed and discussed by Torquato and Stillinger [7].

One of the challenges in this area is to understand the highly heterogeneous force network in a packing with disordered structure. With an external force (e.g. gravity), the force inside the packing propagates along the so-called “force chains” which define the path of interparticle forces. Such a feature has been observed in physical experiments [8], [9], [10], [11], [12], [13], [14], [15], [16], [17] and numerical simulations [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32]. The contact forces can be statistically quantified in terms of probability density functions (PDF). It is a general consensus that the distribution has exponential decay at large forces. Distribution at small forces is still unclear because of the limitation of experiments in measuring small forces. Some results showed that the distribution has a small peak near the mean value and then decreases toward zero, while others showed a plateau around the mean value and a slight increase with decreasing force.

Depending on structure, particle packing can be divided into two categories, random or disordered packing (e.g. the so called random loose packing and random close packing) and ordered packing (e.g. face-centered cubic (FCC) packing and hexagonal-close-packed (HCP) packing). Previous studies on force network were mainly on disordered packing and few are on ordered packing. Ideally, the forces in an ordered packing formed by rigid particles may have certain discrete values which can be analytically obtained. However, particles with finite hardness deform under external forces and the deformation is far less than particle size. Thus in reality, an ordered packing may not be perfect and its forces will have a distribution. To date, the force distribution and propagation in a slightly perturbed ordered packing is still an open issue [33], [34].

There are a few studies on the measurement of the force distribution in a packing which may be subjected to external stresses [35], [36], [37], [38]. For example, under uniaxial compression Blair et al. [35] studied the probability distribution of normal forces between particles in the HCP packing. The physical measurements by Chan and Ngan [36] on the probability distribution of contact forces in the HCP packing of polystyrene spheres identified that the force distribution exhibited a smooth peak. Mueggenburg et al. [37] measured the local contact forces at both the top and bottom boundaries of 3D FCC and HCP packing in response to an external force applied to a small area at the top surface. On the other hand, Spannuth et al. [38] studied the stress transmission through 3D FCC packing with stacking faults. However, in most of these studies, only the forces at the boundaries can be measured, i.e. only the forces between particles and container walls are determined. In general, internal particle–particle forces and external particle–wall forces are different [39], so it is not always correct to use the external forces to infer the internal ones. It is important to find a method to determine the internal forces among particles in a packing. Numerical simulations by means of discrete element method (DEM) can produce such information readily [40].

In this paper, we numerically investigate the force structure in slightly perturbed ordered packings. Two FCC packings with different orientations, namely {100} and {111}, are generated from the DEM simulation [41], [42]. Here their force distributions are analyzed in detail. The results are useful in constructing a comprehensive picture about the forces and their network in an ordered packing of particles.

Section snippets

Discrete element modeling

Dynamic simulation based on the so-called DEM method is probably the most effective in the microscopic study of the packing of particles. It treats particle packing as a dynamic process with the interparticle forces being considered explicitly. Its usefulness has been demonstrated in studies of the packing of coarse or fine particles [32], [39], [40], [41], [42], [43], [44]. In DEM, a particle can possess two types of motion, translational and rotational motions, which are respectively

Results and discussion

In this work, packing density is calculated using the inner section of the bed at the height from 1/4 Zmax to 3/4 Zmax (Zmax = the maximum height of the packed bed). At the beginning, with no or just the first layer of particles added, packing density is considered to be zero. By properly controlling the vibration condition and feeding mode, we can produce packings of different densities for uniform particles. Fig. 1 shows the time-dependent packing density under different packing conditions. For

Conclusions

We have numerically investigated the force network in slightly perturbed ordered packings. Two FCC packings with different orientations are generated using DEM simulations and their force distributions are analyzed. For the {111}-oriented FCC packing, two types of force network can be identified: a horizontal, more uniform in-plane network and a vertical, less uniform inter-plane network. The inter-plane forces support the weight of the packing and decrease with the increase of packing height;

Acknowledgments

The authors are grateful to the National Natural Science Foundation of China (No. 50974040), the Fundamental Research Funds for the Central Universities (No. N100402009), and the Australia Research Council (No. DP0665276 and FF0883231) for the financial support of this work, and Dr Runyu Yang of the University of New South Wales for useful discussion.

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