IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v540y2020ics0378437119317686.html
   My bibliography  Save this article

Heat transfer of squeezing unsteady nanofluid flow under the effects of an inclined magnetic field and variable thermal conductivity

Author

Listed:
  • Lahmar, Sihem
  • Kezzar, Mohamed
  • Eid, Mohamed R.
  • Sari, Mohamed Rafik

Abstract

The main purpose of this article is to examine the flow and heat transfer of a squeezing unsteady nanofluid (Fe3O4–water) between two parallel plates in the case where the thermal conductivity is a function of temperature and under a presence of the inclined magnetic field. The effects of the variable thermal conductivity and inclined magnetic field are conceived in ordinary nonlinear differential equations, which characterize the velocity and temperature distributions of the problem considered, this solved numerically via Runge–Kutta–Fehlberg based shooting method and analytically by analytical technique namely DTM method. On the other hand, as well as the influence of varying physical parameters such as: the volume fraction of the nanoparticles of the type magnetite (Fe3O4), Hartmann number, squeeze number, the angle of inclination of the applied magnetic field and conductivity parameter, the results obtained to highlight the effectiveness of the analytical technique adopted. The results found that Fe3O4 nanoparticles in (H2O) as base fluid enhances considerably the heat transfer features. The existence of variable thermal conductivity and an inclined magnetic field realize a decrease in heat transfer.

Suggested Citation

  • Lahmar, Sihem & Kezzar, Mohamed & Eid, Mohamed R. & Sari, Mohamed Rafik, 2020. "Heat transfer of squeezing unsteady nanofluid flow under the effects of an inclined magnetic field and variable thermal conductivity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
  • Handle: RePEc:eee:phsmap:v:540:y:2020:i:c:s0378437119317686
    DOI: 10.1016/j.physa.2019.123138
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437119317686
    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.2019.123138?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.

    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:540:y:2020:i:c:s0378437119317686. 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.