IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i3p753-d1055309.html
   My bibliography  Save this article

Levenberg–Marquardt Training Technique Analysis of Thermally Radiative and Chemically Reactive Stagnation Point Flow of Non-Newtonian Fluid with Temperature Dependent Thermal Conductivity

Author

Listed:
  • Khalil Ur Rehman

    (Department of Mathematics and Sciences, College of Humanities and Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia
    Department of Mathematics, Air University, PAF Complex E-9, Islamabad 44000, Pakistan)

  • Wasfi Shatanawi

    (Department of Mathematics and Sciences, College of Humanities and Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia
    Department of Mathematics, Faculty of Science, The Hashemite University, P.O. Box 330127, Zarqa 13133, Jordan)

  • Andaç Batur Çolak

    (Information Technologies Application and Research Center, Istanbul Commerce University, 34445 Istanbul, Turkey)

Abstract

We have examined the magnetized stagnation point flow of non-Newtonian fluid towards an inclined cylindrical surface. The mixed convection, thermal radiation, viscous dissipation, heat generation, first-order chemical reaction, and temperature-dependent thermal conductivity are the physical effects being carried for better novelty. Mathematical equations are constructed for four different flow regimes. The shooting method is used to evaluate the heat transfer coefficient at the cylindrical surface with and without heat generation/thermal radiation effects. For better examination, we have constructed artificial neural networking models with the aid of the Levenberg–Marquardt training technique and Purelin and Tan-Sig transfer functions. The Nusselt number strength is greater for fluctuations in the Casson fluid parameter, Prandtl number, heat generation, curvature, and Eckert number when thermal radiations are present.

Suggested Citation

  • Khalil Ur Rehman & Wasfi Shatanawi & Andaç Batur Çolak, 2023. "Levenberg–Marquardt Training Technique Analysis of Thermally Radiative and Chemically Reactive Stagnation Point Flow of Non-Newtonian Fluid with Temperature Dependent Thermal Conductivity," Mathematics, MDPI, vol. 11(3), pages 1-27, February.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:3:p:753-:d:1055309
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/3/753/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/11/3/753/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Khalil Ur Rehman & Andaç Batur Çolak & Wasfi Shatanawi, 2022. "Artificial Neural Networking (ANN) Model for Drag Coefficient Optimization for Various Obstacles," Mathematics, MDPI, vol. 10(14), pages 1-20, July.
    2. Khan, Arif Ullah & Al-Zubaidi, A. & Munir, Shahid & Saleem, S. & Duraihem, Faisal Z., 2021. "Closed form solutions of cross flows of Casson fluid over a stretching surface," Chaos, Solitons & Fractals, Elsevier, vol. 149(C).
    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. Dong, Jinlu & Fang, Jianhong & Pan, Jingwu & Hong, Guangyang & Li, Jian, 2022. "Dynamic model of vibrating plate coupled with a granule bed," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
    2. Khalil Ur Rehman & Wasfi Shatanawi & Andaç Batur Çolak, 2023. "Computational Analysis on Magnetized and Non-Magnetized Boundary Layer Flow of Casson Fluid Past a Cylindrical Surface by Using Artificial Neural Networking," Mathematics, MDPI, vol. 11(2), pages 1-25, January.
    3. Khalil Ur Rehman & Wasfi Shatanawi & Saba Yaseen, 2023. "A Comparative Numerical Study of Heat and Mass Transfer Individualities in Casson Stagnation Point Fluid Flow Past a Flat and Cylindrical Surfaces," Mathematics, MDPI, vol. 11(2), pages 1-21, January.

    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:3:p:753-:d:1055309. 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.