IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i8p1893-d1125403.html
   My bibliography  Save this article

Unsteady Hydromagnetic Flow over an Inclined Rotating Disk through Neural Networking Approach

Author

Listed:
  • Ishtiaq Ali

    (Department of Mathematics and Statistics, College of Science, King Faisal University, P.O. Box 400, Al-Ahsa 31982, Saudi Arabia)

  • Taza Gul

    (Department of Mathematics, City University of Science and Information Technology, Peshawar 25000, Pakistan)

  • Arshad Khan

    (College of Aeronautical Engineering, National University of Sciences and Technology (NUST), Sector H-12, Islamabad 44000, Pakistan)

Abstract

The goal of this research is to examine how a magnetic field affects the unsteady flow of a hybrid nanofluid over a spinning disk that is inclined and stretched while the flow is surrounded by a non-Darcy porous medium. Furthermore, for heat transmission mechanisms, Joule heating and viscous dissipation are considered. The current article is made more realistic by imposing thermal radiation to enhance the heat transmission system under the effects of convection. Moreover, thermal and velocity slip conditions have also been incorporated into the current study. The equations that administer the flow problem along with constraints at the boundaries are converted to dimension-free form by employing a set of appropriate similarity transformations, which are then solved by the numerical technique Runge-Kutta method of order four (RK-4). The new and advanced trend for the convergence of the obtained results is validated through a neural networking approach. The temperature of hybrid nanofluid is augmented by an increase in the porosity parameter, the unsteadiness factor, the Eckert number, the magnetic field, and the Forchheimmer number, while for the values of the radiation factor, the thermal heat is decreasing near the disk and increasing away from the disk. The precision of the obtained results has been ensured by comparing them with established results, with good agreement among these results.

Suggested Citation

  • Ishtiaq Ali & Taza Gul & Arshad Khan, 2023. "Unsteady Hydromagnetic Flow over an Inclined Rotating Disk through Neural Networking Approach," Mathematics, MDPI, vol. 11(8), pages 1-16, April.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:8:p:1893-:d:1125403
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/8/1893/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/11/8/1893/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Iskandar Waini & Najiyah Safwa Khashi’ie & Abdul Rahman Mohd Kasim & Nurul Amira Zainal & Khairum Bin Hamzah & Norihan Md Arifin & Ioan Pop, 2022. "Unsteady Magnetohydrodynamics (MHD) Flow of Hybrid Ferrofluid Due to a Rotating Disk," Mathematics, MDPI, vol. 10(10), pages 1-20, May.
    2. Kamel Guedri & Arshad Khan & Ndolane Sene & Zehba Raizah & Anwar Saeed & Ahmed M. Galal & Jianguo Wang, 2022. "Thermal Flow for Radiative Ternary Hybrid Nanofluid over Nonlinear Stretching Sheet Subject to Darcy–Forchheimer Phenomenon," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-14, October.
    3. Safyan Mukhtar & Taza Gul, 2023. "Solar Radiation and Thermal Convection of Hybrid Nanofluids for the Optimization of Solar Collector," Mathematics, MDPI, vol. 11(5), pages 1-13, February.
    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. Eneko Artetxe & Jokin Uralde & Oscar Barambones & Isidro Calvo & Imanol Martin, 2023. "Maximum Power Point Tracker Controller for Solar Photovoltaic Based on Reinforcement Learning Agent with a Digital Twin," Mathematics, MDPI, vol. 11(9), pages 1-21, May.
    2. Kirusakthika, S. & Priya, S. & Hakeem, A.K. Abdul & Ganga, B., 2024. "MHD slip effects on (50:50) hybrid nanofluid flow over a moving thin inclined needle with consequences of non-linear thermal radiation, viscous dissipation, and inclined Lorentz force," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 222(C), pages 50-66.
    3. Nurul Amira Zainal & Roslinda Nazar & Kohilavani Naganthran & Ioan Pop, 2022. "Magnetic Impact on the Unsteady Separated Stagnation-Point Flow of Hybrid Nanofluid with Viscous Dissipation and Joule Heating," Mathematics, MDPI, vol. 10(13), pages 1-17, July.

    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:11:y:2023:i:8:p:1893-:d:1125403. 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.