Granular Matter

, Volume 4, Issue 3, pp 115–127

Hydrodynamics of rapid granular flow of inelastic particles into vacuum

Authors

  • A. Goldshtein
    • Faculty of Mechanical Engineering, Technion, Haifa 32000, Israel
  • V. Kamenetsky
    • Faculty of Mechanical Engineering, Technion, Haifa 32000, Israel
  • A. Potapov
    • Department of Mechanical Engineering, University of Southern California, Los Angeles, CA 90089-1453 USA
  • M. Shapiro
    • Faculty of Mechanical Engineering, Technion, Haifa 32000, Israel
  • C. Campbell
    • Department of Mechanical Engineering, University of Southern California, Los Angeles, CA 90089-1453 USA
  • D. Degani
    • Faculty of Mechanical Engineering, Technion, Haifa 32000, Israel

DOI: 10.1007/s10035-002-0111-9

Cite this article as:
Goldshtein, A., Kamenetsky, V., Potapov, A. et al. GM (2002) 4: 115. doi:10.1007/s10035-002-0111-9

The problem of expansion of a dilute granular gas consisting of smooth, inelastic hard spheres into vacuum was investigated by three different methods: both (1) analytical and (2) computational (CFD) treatments of a hydrodynamic model, and (3) by Discrete Element Method (DEM) simulation. Furthermore, the systems were followed for long times, over which the granular kinetic energy decreases by several hundredfold. The hydrodynamic model assumes that the particles are uniformly distributed in space, yet, in the DEM simulations, the particles are free to cluster. Thus the comparison allows us to evaluate the effects of cluster formation on the system. All three methods give quantitatively similar results for the escape momentum, energy evolution, and for the hydrodynamic velocity distribution, even for restitution coefficients as small as e=0.8. The maximum deviation between the escape momentum computed from the hydrodynamic model and from DEM is shown to be no more than 4%. This means that cluster formation exerts only a relatively minor effect on the hydrodynamic quantities, suggesting to us that the hydrodynamic model in combination with the CFD algorithm may provide an efficient tool in other related problems. In addition, it is one of few cases where hydrodynamic theory and DEM agree quantitatively.

Key words: Granular gas, Expansion wave, Hydro- dynamic model, CFD method, DEM

Copyright information

© Springer-Verlag Berlin Heidelberg 2002