IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/5468057.html
   My bibliography  Save this article

Effects of Thermo-Conductivity on Hydromagnetic Nanofluid Convective Flow through an Artificial Kidney past a Porous Stretching Cylinder

Author

Listed:
  • Christopher Venance
  • Mathew N. Kinyanjui
  • Kang’ethe Giterere
  • Muhammad Afzal Rana

Abstract

The study of the effects of thermo-conductivity on hydromagnetic nanofluid convective flow through hollow fibers in an artificial kidney past a porous stretching cylinder has been considered. The flow is unsteady and magnetic field is perpendicular applied to the porous stretching cylinder in the artificial kidney. Metallic nanoparticles have been used to improve the heat conduction of the base fluids. The equations governing the hydromagnetic nanofluid convective flow past porous stretching cylinder in an artificial kidney are highly coupled and nonlinear; the equations are solved by finite difference method, a class of numerical techniques for solving differential equations by approximating derivatives with finite differences that applies Crank–Nicolson techniques, and the results obtained are presented graphically followed by discussion of the findings. The effects of each nondimensional parameter on flow variables such as velocity, temperature, and concentration profiles have been discussed. The nanoparticles dissolved in the base fluid improve thermo-conductivity of nanofluid; however, the axial velocity, radial velocity, and temperature as well as concentration of solutes increase as dialysis session of hemodialysis during the filtration of patient’s blood in an artificial kidney decreases from a minimum of six hours to two hours in a day.

Suggested Citation

  • Christopher Venance & Mathew N. Kinyanjui & Kang’ethe Giterere & Muhammad Afzal Rana, 2022. "Effects of Thermo-Conductivity on Hydromagnetic Nanofluid Convective Flow through an Artificial Kidney past a Porous Stretching Cylinder," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-21, October.
  • Handle: RePEc:hin:jnlmpe:5468057
    DOI: 10.1155/2022/5468057
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/5468057.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2022/5468057.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/5468057?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
    ---><---

    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:jnlmpe:5468057. 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.