IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v201y2025ip2s0960077925012780.html

Numerical simulation for magnetized non-isothermal nanofluid flow in hexagonal curved cavity with heated obstacle

Author

Listed:
  • Shatnawi, Taqi A.M.
  • Khan, Aamir Abbas
  • Hussain, Sajjad
  • Alkarni, Shalan

Abstract

In numerous contexts, the behaviors of flow and heat transfer are considered to be intricate phenomena. The enhancement of thermal communication mechanisms due to the presence of nanoscale particles represents a significant area of research. The significance of free convection in fluids containing nanoparticles across various configurations and constraints cannot be overstated. This study investigates the flow characteristics of a natural convection nanofluid within a hexagon-shaped hollow featuring an internally heated cylinder. Simulations were conducted in the absence of a porous material and an inclined magnetic field. Physical issues are utilized to generate mathematical equations, which are subsequently resolved through the Galerkin weighted residual method within the framework of FEM formulation. The influence of various parameters such as Rayleigh numbers (Ra), Hartmann numbers (Ha), and the volume fraction of nanoparticles on both velocity and temperature. The analysis indicates that the Rayleigh number exhibits a significant increase in both the velocity profile and temperature at elevated values. In a similar manner, the magnetic parameter counteracts the velocity flow and increases the temperature for higher values. The magnetic effect demonstrates a significant outcome for various angles of inclination.

Suggested Citation

  • Shatnawi, Taqi A.M. & Khan, Aamir Abbas & Hussain, Sajjad & Alkarni, Shalan, 2025. "Numerical simulation for magnetized non-isothermal nanofluid flow in hexagonal curved cavity with heated obstacle," Chaos, Solitons & Fractals, Elsevier, vol. 201(P2).
  • Handle: RePEc:eee:chsofr:v:201:y:2025:i:p2:s0960077925012780
    DOI: 10.1016/j.chaos.2025.117265
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077925012780
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chaos.2025.117265?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

    for a different version of it.

    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:eee:chsofr:v:201:y:2025:i:p2:s0960077925012780. 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: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    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.