IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i10p1423-d1389662.html
   My bibliography  Save this article

Enhanced Efficiency of MHD-Driven Double-Diffusive Natural Convection in Ternary Hybrid Nanofluid-Filled Quadrantal Enclosure: A Numerical Study

Author

Listed:
  • Saleh Mousa Alzahrani

    (Department of Mathematics, University College in Al-Qunfudhah, Umm Al-Qura University, Al-Qunfudhah 28821, Saudi Arabia)

  • Talal Ali Alzahrani

    (Department of Mathematics, University College in Al-Qunfudhah, Umm Al-Qura University, Al-Qunfudhah 28821, Saudi Arabia)

Abstract

The study investigates the performance of fluid flow, thermal, and mass transport within a cavity, highlighting its application in various engineering sectors like nuclear reactors and solar collectors. Currently, the focus is on enhancing heat and mass transfer through the use of ternary hybrid nanofluid. Motivated by this, our research delves into the efficiency of double-diffusive natural convective (DDNC) flow, heat, and mass transfer of a ternary hybrid nanosuspension (a mixture of Cu-CuO-Al 2 O 3 in water) in a quadrantal enclosure. The enclosure’s lower wall is set to high temperatures and concentrations ( T h and C h ), while the vertical wall is kept at lower levels ( T c and C c ). The curved wall is thermally insulated, with no temperature or concentration gradients. We utilize the finite element method, a distinguished numerical approach, to solve the dimensionless partial differential equations governing the system. Our analysis examines the effects of nanoparticle volume fraction, Rayleigh number, Hartmann number, and Lewis number on flow and thermal patterns, assessed through Nusselt and Sherwood numbers using streamlines, isotherms, isoconcentration, and other appropriate representations. The results show that ternary hybrid nanofluid outperforms both nanofluid and hybrid nanofluid, exhibiting a more substantial enhancement in heat transfer efficiency with increasing volume concentration of nanoparticles.

Suggested Citation

  • Saleh Mousa Alzahrani & Talal Ali Alzahrani, 2024. "Enhanced Efficiency of MHD-Driven Double-Diffusive Natural Convection in Ternary Hybrid Nanofluid-Filled Quadrantal Enclosure: A Numerical Study," Mathematics, MDPI, vol. 12(10), pages 1-28, May.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:10:p:1423-:d:1389662
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/10/1423/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/12/10/1423/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Payam Rahim Mashaei & Seyed Mostafa Hosseinalipour & Mehdi Bahiraei, 2012. "Numerical Investigation of Nanofluid Forced Convection in Channels with Discrete Heat Sources," Journal of Applied Mathematics, Hindawi, vol. 2012, pages 1-18, April.
    2. Wang, Furong & Yang, Xuehua & Zhang, Haixiang & Wu, Lijiao, 2022. "A time two-grid algorithm for the two dimensional nonlinear fractional PIDE with a weakly singular kernel," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 199(C), pages 38-59.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mei, Yusha & Cui, Mingrong & Zeng, Fanhai, 2024. "A time two-grid algorithm for two-dimensional nonlinear time-fractional partial integro-differential equations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 221(C), pages 550-569.

    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:gam:jmathe:v:12:y:2024:i:10:p:1423-:d:1389662. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.