IDEAS home Printed from https://ideas.repec.org/a/hin/jjmath/5517617.html
   My bibliography  Save this article

Fractional Modeling of Non-Newtonian Casson Fluid between Two Parallel Plates

Author

Listed:
  • Mubashir Qayyum
  • Sidra Afzal
  • Efaza Ahmad
  • Serkan Araci

Abstract

In this manuscript, fractional modeling of non-Newtonian Casson fluid squeezed between two parallel plates is performed under the influence of magneto-hydro-dynamic and Darcian effects. The Casson fluid model is fractionally transformed through mixed similarity transformations. As a result, partial differential equations (PDEs) are transformed to a fractional ordinary differential equation (FODE). In the current modeling, the continuity equation is satisfied while the momentum equation of the integral order Casson fluid is recovered when the fractional parameter is taken as α=1. A modified homotopy perturbation algorithm is used for the solution and analysis of highly nonlinear and fully fractional ordinary differential equations. Obtained solutions and errors are compared with existing integral order results from the literature. Graphical analysis is also performed at normal and radial velocity components for different fluid and fractional parameters. Analysis reveals that a few parameters are showing different behavior in a fractional environment as compared to existing integer-order cases from the literature. These findings affirm the importance of fractional calculus in terms of more generalized analysis of physical phenomena.

Suggested Citation

  • Mubashir Qayyum & Sidra Afzal & Efaza Ahmad & Serkan Araci, 2023. "Fractional Modeling of Non-Newtonian Casson Fluid between Two Parallel Plates," Journal of Mathematics, Hindawi, vol. 2023, pages 1-12, March.
  • Handle: RePEc:hin:jjmath:5517617
    DOI: 10.1155/2023/5517617
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/jmath/2023/5517617.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/jmath/2023/5517617.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2023/5517617?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qayyum, Mubashir & Tahir, Aneeza & Saeed, Syed Tauseef & Akgül, Ali, 2023. "Series-form solutions of generalized fractional-fisher models with uncertainties using hybrid approach in Caputo sense," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).

    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:jjmath:5517617. 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.