IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v551y2020ics0378437119322022.html
   My bibliography  Save this article

Hybrid dusty fluid flow through a Cattaneo–Christov heat flux model

Author

Listed:
  • Gnaneswara Reddy, M.
  • Sudha Rani, M.V.V.N.L.
  • Ganesh Kumar, K.
  • Prasannakumar, B.C.
  • Lokesh, H.J.

Abstract

The present work focused on two dimensional flow of an incompressible hybrid dusty fluid through a Darcy–Forchheimer medium over a stretched sheet. The Cattaneo–Christov heat flux model and the carbon nanotube properties are taken into an account. The problem is mathematically formulated from the flow, there after solved numerically with the help of RKF-45 method along with the maple package. Impacts of physical parameters of present problem such as, Eckert number, radiation parameter and Prandtl number are analyzed by means of graphs and tables with some notable applications. From the result we observed that, an escalating value of Pr diminishes the temperature profile for both fluids. Higher estimation of Kp reduces the velocity profile for both phases. Momentum boundary layer thickness decreases by increasing values of Fr. Furthermore, Heat transfer process is higher in dusty fluid when compare to hybrid nanofluid. And the higher radiation parameter plays a key role in cooling process.

Suggested Citation

  • Gnaneswara Reddy, M. & Sudha Rani, M.V.V.N.L. & Ganesh Kumar, K. & Prasannakumar, B.C. & Lokesh, H.J., 2020. "Hybrid dusty fluid flow through a Cattaneo–Christov heat flux model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    • Handle: RePEc:eee:phsmap:v:551:y:2020:i:c:s0378437119322022
    DOI: 10.1016/j.physa.2019.123975
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437119322022
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2019.123975?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 search for a different version of it.

    Citations

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


    Cited by:

    1. Nur Syazana Anuar & Norfifah Bachok & Ioan Pop, 2021. "Numerical Computation of Dusty Hybrid Nanofluid Flow and Heat Transfer over a Deformable Sheet with Slip Effect," Mathematics, MDPI, vol. 9(6), pages 1-18, March.

    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:phsmap:v:551:y:2020:i:c:s0378437119322022. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.