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Phys. Rev. E 77, 066301 (2008) [10 pages]

Species interactions in binary particulate systems

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J. Liu*
Department of Mechanical Engineering, The Johns Hopkins University, Baltimore, Maryland 21218, USA and Theoretical Division, Fluid Dynamics Group T-3, B216, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA

S. Y. Chen
Department of Mechanical Engineering, The Johns Hopkins University, Baltimore, Maryland 21218 USA and CoE and CCSE, Peking University, Beijing, China

D. Z. Zhang
Theoretical Division, Fluid Dynamics Group T-3, B216, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA

Received 14 November 2007; revised 19 March 2008; published 2 June 2008

In many models for binary particulate systems, the relative motion between two particle species is modeled by diffusion. Recently, two-equation models have been used to improve diffusion models. While two-equation models are significant improvements to diffusion models and are applicable in modeling dilute systems, they are still theoretically inadequate for dense systems. This inadequacy directly results from the assumption that the species interaction forces in the two momentum equations sum to zero. In fact, the sum of the two forces is not zero but the divergence of an interspecies stress [ Zhang, Ma and Rauenzahn Phys. Rev. Lett. 97 048301 (2006)]. Introduction of this interspecies stress amends the inadequacy in two-equation models. The main objective of the present paper is to examine the importance of this newly introduced interspecies stress relative to other known stresses in the system. For this purpose we numerically simulate the simplest possible granular system. The interspecies stress is of the same order of magnitude as other stresses for dense systems. Additionally, we also examine properties of the species interaction force under different conditions.

© 2008 The American Physical Society

URL:
http://link.aps.org/doi/10.1103/PhysRevE.77.066301
DOI:
10.1103/PhysRevE.77.066301
PACS:
47.57.Gc, 47.55.−t, 83.10.Rs, 45.70.Mg

*jliu36@jhu.edu

syc@jhu.edu

Corresponding author. dzhang@lanl.gov