Literature DB >> 26592541

Optimizing packing fraction in granular media composed of overlapping spheres.

Leah K Roth1, Heinrich M Jaeger1.   

Abstract

What particle shape will generate the highest packing fraction when randomly poured into a container? In order to explore and navigate the enormous search space efficiently, we pair molecular dynamics simulations with artificial evolution. Arbitrary particle shape is represented by a set of overlapping spheres of varying diameter, enabling us to approximate smooth surfaces with a resolution proportional to the number of spheres included. We discover a family of planar triangular particles, whose packing fraction of ϕ ∼ 0.73 is among the highest experimental results for disordered packings of frictionless particles. We investigate how ϕ depends on the arrangement of spheres comprising an individual particle and on the smoothness of the surface. We validate the simulations with experiments using 3D-printed copies of the simplest member of the family, a planar particle consisting of three overlapping spheres with identical radius. Direct experimental comparison with 3D-printed aspherical ellipsoids demonstrates that the triangular particles pack exceedingly well not only in the limit of large system size but also when confined to small containers.

Entities:  

Year:  2016        PMID: 26592541     DOI: 10.1039/c5sm02335a

Source DB:  PubMed          Journal:  Soft Matter        ISSN: 1744-683X            Impact factor:   3.679


  3 in total

1.  DEM modelling of railway ballast using the Conical Damage Model: a comprehensive parametrisation strategy.

Authors:  Bettina Suhr; William A Skipper; Roger Lewis; Klaus Six
Journal:  Granul Matter       Date:  2022-01-24       Impact factor: 2.652

2.  Efficient DEM simulations of railway ballast using simple particle shapes.

Authors:  Bettina Suhr; Klaus Six
Journal:  Granul Matter       Date:  2022-09-13       Impact factor: 3.010

3.  Simple particle shapes for DEM simulations of railway ballast: influence of shape descriptors on packing behaviour.

Authors:  Bettina Suhr; Klaus Six
Journal:  Granul Matter       Date:  2020-03-23       Impact factor: 2.652

  3 in total

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