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Dynamics of sheared inelastic dumbbells

Published online by Cambridge University Press:  16 August 2010

K. ANKI REDDY
Affiliation:
Department of Chemical Engineering, Indian Institute of Science, Bangalore 560012, India
J. TALBOT
Affiliation:
Laboratoire de Physique Théorique de la Matiére Condensée, CNRS UMR 7600, Université Pierre et Marie Curie, 4, Place Jussieu, 75252 Paris Cedex, France
V. KUMARAN*
Affiliation:
Department of Chemical Engineering, Indian Institute of Science, Bangalore 560012, India
*
Email address for correspondence: [email protected]

Abstract

We study the dynamical properties of the homogeneous shear flow of inelastic dumbbells in two dimensions as a first step towards examining the effect of shape on the properties of flowing granular materials. The dumbbells are modelled as smooth fused disks characterized by the ratio of the distance between centres (L) and the disk diameter (D), with an aspect ratio (L/D) varying between 0 and 1 in our simulations. Area fractions studied are in the range 0.1–0.7, while coefficients of normal restitution (en) from 0.99 to 0.7 are considered. The simulations use a modified form of the event-driven methodology for circular disks. The average orientation is characterized by an order parameter S, which varies between 0 (for a perfectly disordered fluid) and 1 (for a fluid with the axes of all dumbbells in the same direction). We investigate power-law fits of S as a function of (L/D) and (1−en2). There is a gradual increase in ordering as the area fraction is increased, as the aspect ratio is increased or as the coefficient of restitution is decreased. The order parameter has a maximum value of about 0.5 for the highest area fraction and lowest coefficient of restitution considered here. The mean energy of the velocity fluctuations in the flow direction is higher than that in the gradient direction and the rotational energy, though the difference decreases as the area fraction increases, due to the efficient collisional transfer of energy between the three directions. The distributions of the translational and rotational velocities are Gaussian to a very good approximation. The pressure is found to be remarkably independent of the coefficient of restitution. The pressure and dissipation rate show relatively little variation when scaled by the collision frequency for all the area fractions studied here, indicating that the collision frequency determines the momentum transport and energy dissipation, even at the lowest area fractions studied here. The mean angular velocity of the particles is equal to half the vorticity at low area fractions, but the magnitude systematically decreases to less than half the vorticity as the area fraction is increased, even though the stress tensor is symmetric.

Type
Papers
Copyright
Copyright © Cambridge University Press 2010

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References

REFERENCES

Allen, M. P., Frenkel, D. & Talbot, J. 1989 Molecular dynamics simulation using hard particles. Comput. Phys. Rep. 9, 301.CrossRefGoogle Scholar
Aranson, I. S., Snezhko, A., Olafsen, J. S. & Urbach, J. S. 2008 Comment on ‘Long-Lived Giant Number Fluctuations in a Swarming Granular Nematic’. Science 320, 612c.CrossRefGoogle Scholar
Bertrand, F., Leclaire, L. A. & Levecque, G. 2005 DEM-based models for the mixing of granular materials. Chem. Engng Sci. 60, 25172531.CrossRefGoogle Scholar
Blair, D. L., Neicu, T. & Kudrolli, A. 2003 Vortices in vibrated granular rods. Phys. Rev. E 67, 031303031308.Google ScholarPubMed
Cleary, P. W. 2008 The effect of particle shape on simple shear flows. Powder Technol. 179, 144180.CrossRefGoogle Scholar
Cleary, P. W. & Sawley, O. D. L. 2002 DEM modelling of industrial granular flows: 3D case studies and the effect of particle shape on hopper discharge. Appl. Math. Model. 26, 85111.CrossRefGoogle Scholar
Cole, D. M. & Peters, J. F. 2007 A physically based approach to granular media mechanics: grain-scale experiments, initial results and implications to numerical modeling. Granular Matter 9, 309321.CrossRefGoogle Scholar
Cole, D. M. & Peters, J. F. 2008 Grain-scale mechanics of geologic materials and lunar simulants under normal loading. Granular Matter 10, 171185.CrossRefGoogle Scholar
Cundall, P. A. & Strack, O. D. L. 1979 A discrete numerical model for granular assemblies. Geotechnique 29, 4765.CrossRefGoogle Scholar
Galanis, J., Harries, D., Sackett, D. L., Losert, W. & Nossal, R. 2006 Phys. Rev. Lett. 96, 028002.CrossRefGoogle Scholar
Gallas, J. A. C. & Sokolowski, S. 1993 Grain non-sphericity effects on the angle of repose in a granular material. Intl J. Mod. Phys. B 7, 20372046.CrossRefGoogle Scholar
Kumaran, V. 2004 Constitutive relations and linear stability of a sheared granular flow. J. Fluid Mech. 506, 143.CrossRefGoogle Scholar
Kumaran, V. 2006 The constitutive relations for the granular flow of rough particles, and its application to the flow down an inclined plane. J. Fluid Mech. 561, 142.CrossRefGoogle Scholar
Kumaran, V. 2008 Dense granular flow down an inclined plane – from kinetic theory to granular dynamics. J. Fluid Mech. 599, 120168.CrossRefGoogle Scholar
Kumaran, V. 2009 a Dense sheared granular flows. Part I. Structure and diffusion. J. Fluid Mech. 632, 109144.CrossRefGoogle Scholar
Kumaran, V. 2009 b Dense sheared granular flows. Part II. The relative velocity distribution. J. Fluid Mech. 632, 145198.CrossRefGoogle Scholar
Langston, P. A., Al-Awamleh, M. A., Fraige, F. Y. & Asmar, B. M. 2004 Distinct element modelling of non-spherical frictionless particle flow. Chem. Engng Sci. 59, 425435.CrossRefGoogle Scholar
Lees, A. W. & Edwards, S. F. 1972 J. Phys. C 5, 1921.Google Scholar
Lumay, G. & Vandewalle, N. 2004 Compaction of anisotropic granular materials: Experiments and simulations. Phys. Rev. E 70, 051314.Google ScholarPubMed
Matuttis, H. G. 1998 Simulations of the pressure distribution under a two dimensional heap of polygonal particles. Granular Matter 1, 8391.CrossRefGoogle Scholar
Mitarai, N., Hayakawa, H. & Nakanishi, H. 2002 Collisional Granular flow as a Micropolar fluid. Phys. Rev. Lett. 88, 174301.CrossRefGoogle ScholarPubMed
Mohan, L. S., Nott, P. R. & Rao, K. K. 2002 A frictional Cosserat model for the slow shearing of granular materials. J. Fluid Mech. 457, 377409.CrossRefGoogle Scholar
Narayan, V., Ramaswamy, S. & Menon, N. 2007 Science 317, 105.CrossRefGoogle Scholar
Pena, A. A., Garcia-Rojo, R. & Herrmann, H. J. 2007 Influence of particle shape on sheared dense granular media Granular Matter 9, 279291.CrossRefGoogle Scholar
Poschel, T. & Buchholtz, V. 1995 Molecular dynamics of arbitrarily shaped granular particles. J. Phys. France 5, 14311445.CrossRefGoogle Scholar
Rebertus, W. & Sando, K. M. 1977 Molecular dynamics simulation of a fluid of hard spherocylinders. J. Chem. Phys. 67, 25852590.CrossRefGoogle Scholar
Reddy, K. A., Kumaran, V. & Talbot, J. 2009 Orientational ordering in sheared inelastic dumbbells. Phys. Rev. E 80, 031304.Google ScholarPubMed
Stokely, K., Diacou, A. & Franklin, S. V. 2003 Two-dimensional packing in prolate granular materials. Phys. Rev. E 67, 051302.Google ScholarPubMed
Villarruel, F., Lauderdale, B., Mueth, D. M. & Jaeger, H. M. 2000 Compaction of rods: relaxation and ordering in vibrated, anisotropic granular material. Phys. Rev. E 61, 69146919.Google ScholarPubMed
Zhu, H. P., Zhou, Z. Y., Yang, R. Y. & Yu, A. B. 2007 Discrete particle simulation of particulate systems: theoretical developments. Chem. Engng Sci. 62, 33783396.CrossRefGoogle Scholar