Self-organized magnetic particles to tune the mechanical behavior of a granular system
Above a certain density a granular material jams. This property can be controlled by either tuning a global property, such as the packing fraction or by applying shear strain, or at the micro-scale by tuning grain shape, inter-particle friction or externally controlled organization. Here, we introdu...
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Published in | Europhysics letters Vol. 115; no. 6; p. 64003 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Les Ulis
EDP Sciences, IOP Publishing and Società Italiana di Fisica
01.09.2016
IOP Publishing European Physical Society / EDP Sciences / Società Italiana di Fisica / IOP Publishing |
Subjects | |
Online Access | Get full text |
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Summary: | Above a certain density a granular material jams. This property can be controlled by either tuning a global property, such as the packing fraction or by applying shear strain, or at the micro-scale by tuning grain shape, inter-particle friction or externally controlled organization. Here, we introduce a novel way to change a local granular property by adding a weak anisotropic magnetic interaction between particles. We measure the evolution of the pressure, P, and coordination number, Z, for a packing of 2D photo-elastic disks, subject to uniaxial compression. A fraction Rm of the particles have embedded cuboidal magnets. The strength of the magnetic interactions between particles is too weak to have a strong direct effect on P or Z when the system is jammed. However, the magnetic interactions play an important role in the evolution of latent force networks when systems containing a large enough fraction of the particles with magnets are driven through unjammed to jammed states. In this case, a statistically stable network of magnetic chains self-organizes before jamming and overlaps with force chains once jamming occurs, strengthening the granular medium. This property opens a novel way to control mechanical properties of granular materials. |
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Bibliography: | publisher-ID:epl18161 ark:/67375/80W-TL465FKS-F istex:E7DAD4C0F3D80CB8E521E1053B5A329D5E7E7CCA ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 0295-5075 1286-4854 |
DOI: | 10.1209/0295-5075/115/64003 |