IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/7834731.html
   My bibliography  Save this article

Double-Population Link-Wise Artificial Compressibility Method for Simulating Two-Dimensional Magnetoconvection

Author

Listed:
  • Mohamed Hamdi
  • Souheil Elalimi
  • Sassi Ben Nasrallah

Abstract

The recently developed Link-Wise Artificial Compressibility Method (LW-ACM) with double population is presented, validated, and then applied to magnetoconvective flow. The validation step evolves in two stages. First of all, we used the problem of mixed convection over a vertical duct preceded by a sudden expansion in order to validate the multiple relaxation times (MRT) code. Then, we explore the accuracy and the performance of the LW-ACM versus the MRT model and the classic Bhatnagar-Gross-Krook (BGK) model by using a differentially heated cavity problem for Prandtl number . The numerical results for values of Nusselt numbers and process time clearly showed the accuracy and the efficiency of LW-ACM. The adequate accuracy of the proposed model encouraged us to apply it to a magnetoconvection problem. Dynamic and thermal fields are presented and analyzed at and Rayleigh number for Hartmann number up to . Results revealed that the effects of magnetic fields on dynamic and thermal fields are important and that the heat transfer in the cavity is a decreasing function of magnetic field strength.

Suggested Citation

  • Mohamed Hamdi & Souheil Elalimi & Sassi Ben Nasrallah, 2019. "Double-Population Link-Wise Artificial Compressibility Method for Simulating Two-Dimensional Magnetoconvection," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-11, March.
  • Handle: RePEc:hin:jnlmpe:7834731
    DOI: 10.1155/2019/7834731
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2019/7834731.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2019/7834731.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2019/7834731?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
    ---><---

    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:hin:jnlmpe:7834731. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.