IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v322y2003icp467-476.html
   My bibliography  Save this article

Random deposition model of particles with discrete orientations

Author

Listed:
  • Cavalcanti, W
  • Santos, M
  • Figueiredo, W

Abstract

We studied a simple model that describes the texture formation during the deposition of particles with a discrete set of orientations. The particles are randomly deposited on a surface, obeying the solid on solid condition. The orientation of the particle when it sticks to the surface depends on the orientation of its neighbors as well as on the temperature of the sample. A q-state ferromagnetic Potts model is used to determine the energy of interaction with the neighbors and the local equilibrium is found by the application of the Metropolis algorithm. We recorded the orientations along each vertical column i, and a variable S(i,t) was defined as a function of time t, representing the algebraic sum of the orientations. We also calculated the fluctuations around the mean value of S as a function of time and the linear size of the lattice. These fluctuations exhibit a self-affine behavior, and we determined the dynamical exponents related to the growth of the deposit as a function of temperature and number of possible orientations q of the axis of the particle. We have shown that the layer by layer growth shows a defined texture at long times and at low temperatures. On the other hand, at high temperatures the fluctuations of S do not saturate, and the system does not exhibit a texture with a well-defined orientation of the deposited particles.

Suggested Citation

  • Cavalcanti, W & Santos, M & Figueiredo, W, 2003. "Random deposition model of particles with discrete orientations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 322(C), pages 467-476.
  • Handle: RePEc:eee:phsmap:v:322:y:2003:i:c:p:467-476
    DOI: 10.1016/S0378-4371(02)01815-0
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437102018150
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/S0378-4371(02)01815-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    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:eee:phsmap:v:322:y:2003:i:c:p:467-476. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.