IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v185y2021icp497-509.html
   My bibliography  Save this article

Modeling and simulation of micro-rotation and spin gradient viscosity for ferromagnetic hybrid (Manganese Zinc Ferrite, Nickle Zinc Ferrite) nanofluids

Author

Listed:
  • Khan, M. Ijaz
  • Qayyum, Sumaira
  • Farooq, Shahid
  • Chu, Yu-Ming
  • Kadry, Seifedine

Abstract

A common technique of enhancing thermal conducting is through the insertion of small magnetic particles or other nanoparticles with high thermal conductivity. In this research letter, manganese Zinc ferrite (MnZnFe2O4) and Nickle Zinc ferrite (NiZnFe2O4) were examined to assess the maximum possibility of enhancing thermal conductivity for current heat dissipation fluid problem. Therefore, a mathematical modeling is developed for steady, incompressible, 2D ferromagnetic hybrid (Manganese Zinc Ferrite, Nickle Zinc Ferrite) nanomaterial of micropolar fluid (non-Newtonian) towards moving surface of sheet. Darcy–Forchheimer porous medium effect is studied through momentum equation and thermal stratification effect is employed in heat equation. Micro-rotation and spin gradient effects are accounted. The model of heat diffusion initiated by Fourier law of heat conduction is implemented for energy transport assessment. The governing partial differential equations are altered through implementation of appropriate similarity variables into ordinary ones. Built-in-Shooting technique leads to the solutions of dimensionless flow equations. Behaviors of physical phenomenon are sketched by taking various positive estimations of concerning material constraints. The comparative solutions subject to manganese Zinc ferrite (MnZnFe2O4) and Nickle Zinc ferrite (NiZnFe2O4) hybrid nanofluids are presented and studied. From obtained results, we observed that velocity is more for MnZnFe2O4-NiZnFe2O4-C8H18 as compared to MnZnFe2O4-NiZnFe2O4-C10H22-C8H18 hybrid nanomaterials.

Suggested Citation

  • Khan, M. Ijaz & Qayyum, Sumaira & Farooq, Shahid & Chu, Yu-Ming & Kadry, Seifedine, 2021. "Modeling and simulation of micro-rotation and spin gradient viscosity for ferromagnetic hybrid (Manganese Zinc Ferrite, Nickle Zinc Ferrite) nanofluids," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 185(C), pages 497-509.
    • Handle: RePEc:eee:matcom:v:185:y:2021:i:c:p:497-509
    DOI: 10.1016/j.matcom.2021.01.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475421000070
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.matcom.2021.01.007?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.

    References listed on IDEAS

    as
    1. Mittal, Akhil S. & Patel, Harshad R., 2020. "Influence of thermophoresis and Brownian motion on mixed convection two dimensional MHD Casson fluid flow with non-linear radiation and heat generation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    2. Ghalib, M. Mansha & Zafar, Azhar A. & Riaz, M. Bilal & Hammouch, Z. & Shabbir, Khurram, 2020. "Analytical approach for the steady MHD conjugate viscous fluid flow in a porous medium with nonsingular fractional derivative," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Shi, Lei & Zhang, Shuai & Arshad, Adeel & Hu, Yanwei & He, Yurong & Yan, Yuying, 2021. "Thermo-physical properties prediction of carbon-based magnetic nanofluids based on an artificial neural network," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    2. Khan, Sohail A. & Hayat, T. & Alsaedi, A., 2022. "Irreversibility analysis for nanofluid (NiZnFe2O4-C8H18 and MnZnFe2O4-C8H18) flow with radiation effect," Applied Mathematics and Computation, Elsevier, vol. 419(C).

    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. Baleanu, Dumitru & Jajarmi, Amin & Mohammadi, Hakimeh & Rezapour, Shahram, 2020. "A new study on the mathematical modelling of human liver with Caputo–Fabrizio fractional derivative," Chaos, Solitons & Fractals, Elsevier, vol. 134(C).
    2. Sahoo, A. & Nandkeolyar, R., 2021. "Entropy generation in convective radiative flow of a Casson nanofluid in non-Darcy porous medium with Hall current and activation energy: The multiple regression model," Applied Mathematics and Computation, Elsevier, vol. 402(C).
    3. Kumar, Sunil & Kumar, Ranbir & Cattani, Carlo & Samet, Bessem, 2020. "Chaotic behaviour of fractional predator-prey dynamical system," Chaos, Solitons & Fractals, Elsevier, vol. 135(C).
    4. Salahuddin, T. & Siddique, Nazim & Arshad, Maryam, 2020. "Insight into the dynamics of the Non-Newtonian Casson fluid on a horizontal object with variable thickness," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 177(C), pages 211-231.
    5. Anwar Saeed & Ebrahem A Algehyne & Musaad S Aldhabani & Abdullah Dawar & Poom Kumam & Wiyada Kumam, 2022. "Mixed convective flow of a magnetohydrodynamic Casson fluid through a permeable stretching sheet with first-order chemical reaction," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-15, April.

    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:matcom:v:185:y:2021:i:c:p:497-509. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    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.