IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-28091-0_48.html
   My bibliography  Save this book chapter

Computer Simulations of Magnetic Grains

In: Traffic and Granular Flow ’03

Author

Listed:
  • S. Fazekas

    (Budapest University of Technology and Economics, Department of Theoretical Physics
    Budapest University of Technology and Economics, Theoretical Solid State Research Group of the Hungarian Academy of Sciences)

  • J. Kertész

    (Budapest University of Technology and Economics, Department of Theoretical Physics)

  • D.E. Wolf

    (University Duisburg-Essen, Institute of Physics)

Abstract

Summary In dense arrangements of magnetic grains, cutting off the interaction potential gives a possibility to accelerate simulation algorithms. We argue that R ≈ 5 particle diameters is a reasonable choice for dipole-dipole interaction cutoff in two-dimensional dipolar hard sphere systems, if one is interested in local ordering. As an application, we performed computer simulations based on a two-dimensional Distinct Element Method to study granular systems of magnetized spherical particles. The effect of the magnetization on the angle of repose, on the surface roughness of piles, and on particle avalanches were studied. We found a smooth transition in the avalanche formation from a granular regime to a correlated regime controlled by the magnetic interparticle force. This observation underlines the analogies between systems with magnetic and adhesive forces.

Suggested Citation

  • S. Fazekas & J. Kertész & D.E. Wolf, 2005. "Computer Simulations of Magnetic Grains," Springer Books, in: Serge P. Hoogendoorn & Stefan Luding & Piet H. L. Bovy & Michael Schreckenberg & Dietrich E. Wolf (ed.), Traffic and Granular Flow ’03, pages 489-501, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-28091-0_48
    DOI: 10.1007/3-540-28091-X_48
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-540-28091-0_48. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.