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Related Experiment Videos

Fine structures in sheared granular flows.

William Polashenski1, Piroz Zamankhan, Simo Mäkiharju

  • 1Lomic, Inc., 2171 Sandy Drive, Suite 130, State College, Pennsylvania 16803, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|September 21, 2002
PubMed
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Computer simulations reveal how spherical particles behave in shear flows. Different models accurately predict particle motion and clustering, especially in bounded systems, offering insights into dense granular flows.

Area of Science:

  • Physics
  • Materials Science
  • Computational Science

Background:

  • Understanding the behavior of granular materials under shear is crucial for various industrial applications.
  • Previous models struggled to accurately capture complex phenomena like jamming and particle ordering in dense systems.

Purpose of the Study:

  • To investigate shear flows of large numbers of viscoelastic, monosized, spherical particles using computer simulations.
  • To develop and compare different particle interaction models for predicting flow behavior across various solid fractions.

Main Methods:

  • Utilized computer simulations employing a modified hard-sphere model for low-to-moderate solid fractions.
  • Developed a nonlinear Hertzian particle dynamics model to account for finite-duration contacts and viscoelasticity at higher solid fractions.

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  • Simulated both unbounded and bounded systems, incorporating surface friction and gravity where applicable.

    • Main Results:

    • The modified hard-sphere model replicated kinetic theory predictions for unbounded flows and showed particle diffusion up to 0.56 solid fractions.
    • The nonlinear viscoelastic model provided better predictions for cluster formation, especially with surface friction.
    • Particle ordering was achieved in bounded shear flow simulations using the hard-sphere model, influenced by local solid fraction and wall separation.
    • Stick-slip dynamics were observed in the normal stress signal.

    Conclusions:

    • Different simulation models are effective for distinct solid fractions and system boundaries.
    • Particle ordering and cluster formation are sensitive to model choice, friction, and system geometry.
    • The study provides a foundation for further research into sheared dense granular systems.