Literature DB >> 17930238

Enskog theory for polydisperse granular mixtures. I. Navier-Stokes order transport.

Vicente Garzó1, James W Dufty, Christine M Hrenya.   

Abstract

A hydrodynamic description for an s -component mixture of inelastic, smooth hard disks (two dimensions) or spheres (three dimensions) is derived based on the revised Enskog theory for the single-particle velocity distribution functions. In this first part of the two-part series, the macroscopic balance equations for mass, momentum, and energy are derived. Constitutive equations are calculated from exact expressions for the fluxes by a Chapman-Enskog expansion carried out to first order in spatial gradients, thereby resulting in a Navier-Stokes order theory. Within this context of small gradients, the theory is applicable to a wide range of restitution coefficients and densities. The resulting integral-differential equations for the zeroth- and first-order approximations of the distribution functions are given in exact form. An approximate solution to these equations is required for practical purposes in order to cast the constitutive quantities as algebraic functions of the macroscopic variables; this task is described in the companion paper.

Year:  2007        PMID: 17930238     DOI: 10.1103/PhysRevE.76.031303

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  3 in total

1.  Segregation by thermal diffusion in moderately dense granular mixtures.

Authors:  V Garzó
Journal:  Eur Phys J E Soft Matter       Date:  2009-07-10       Impact factor: 1.890

2.  Anomalous transport of impurities in inelastic Maxwell gases.

Authors:  Vicente Garzó; Nagi Khalil; Emmanuel Trizac
Journal:  Eur Phys J E Soft Matter       Date:  2015-03-17       Impact factor: 1.890

Review 3.  Kinetic Theory of Polydisperse Granular Mixtures: Influence of the Partial Temperatures on Transport Properties-A Review.

Authors:  Moisés García Chamorro; Rubén Gómez González; Vicente Garzó
Journal:  Entropy (Basel)       Date:  2022-06-14       Impact factor: 2.738

  3 in total

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