IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v199y2022icp438-462.html
   My bibliography  Save this article

Application of Biomagnetic Fluid Dynamics modeling for simulation of flow with magnetic particles and variable fluid properties over a stretching cylinder

Author

Listed:
  • Alam, Jahangir
  • Murtaza, M.G.
  • Tzirtzilakis, E.E.
  • Ferdows, M.

Abstract

An incompressible, electrically conducting Biomagnetic Fluid Dynamics (BFD) flow—namely the flow of blood with magnetic particles through a two-dimensional stretching cylinder under the influence of a magnetic dipole—is numerically and theoretically investigated in the present study. Herein, fluid viscosity and thermal conductivity are supposed to vary as an inverse function and as linear functions of temperature, respectively. This study involves two areas of analysis, namely magnetohydrodynamics (MHD) and ferrohydrodynamics (FHD). The basic blood flow features when magnetic particles are added to blood, as well as those of pure blood are discussed. Using a similarity approach, the governing system of partial differential equations are converted into a system of ordinary differential equations which are solved numerically by considering an efficient technique based on a common finite differences method, consisting of central differencing, tridiagonal matrix manipulation and an iterative procedure. The significant effects of various physical non-dimensional parameters concerning the axial velocity, temperature, skin friction coefficient and rate of heat transfer are demonstrated graphically. The obtained results reveal that with increasing values of the ferromagnetic interaction parameter, the magnetic field parameter, the thermal conductivity parameter and the viscosity variation parameter, fluid (blood-Fe3O4) velocity is reduced, whereas both axial velocity and temperature are enhanced for the curvature parameter. Both the skin friction coefficient and the rate of heat transfer decline with rising values of the thermal conductivity parameter. To make the results physically reliable, a temporal stability analysis is also provided in this study. Finally, the accuracy of the applied numerical technique is validated with existing published literature for some limiting cases, and the results are found to be in excellent agreement. The present outcomes disclose that the behavior of blood flow can be controlled by employing a strong magnetic field. It is hoped that such kind of results will be useful in medical sector especially in MRI, magnetic drug targeting and magnetic hyperthermia treatments.

Suggested Citation

  • Alam, Jahangir & Murtaza, M.G. & Tzirtzilakis, E.E. & Ferdows, M., 2022. "Application of Biomagnetic Fluid Dynamics modeling for simulation of flow with magnetic particles and variable fluid properties over a stretching cylinder," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 199(C), pages 438-462.
    • Handle: RePEc:eee:matcom:v:199:y:2022:i:c:p:438-462
    DOI: 10.1016/j.matcom.2022.04.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475422001501
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.matcom.2022.04.008?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. Farhad Ali & Samina Majeed & Anees Imtiaz, 2021. "Magnetohydrodynamic Blood Flow in a Cylindrical Tube with Magnetic Particles: A Time Fractional Model," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-14, July.
    2. Megahed, Ahmed M. & Reddy, M. Gnaneswara & Abbas, W., 2021. "Modeling of MHD fluid flow over an unsteady stretching sheet with thermal radiation, variable fluid properties and heat flux," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 185(C), pages 583-593.
    3. Md. Jahangir Alam & Md. Ghulam Murtaza, 2020. "Effect of temperature dependent viscosity on biomagnetic fluid flow and heat transfer over a nonlinear stretching sheet," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 6(1), pages 08-21.
    Full references (including those not matched with items on IDEAS)

    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. Nadeem Abbas & Wasfi Shatanawi, 2022. "Heat and Mass Transfer of Micropolar-Casson Nanofluid over Vertical Variable Stretching Riga Sheet," Energies, MDPI, vol. 15(14), pages 1-20, July.
    2. Mohamed E. Nasr & Machireddy Gnaneswara Reddy & W. Abbas & Ahmed M. Megahed & Essam Awwad & Khalil M. Khalil, 2022. "Analysis of Non-Linear Radiation and Activation Energy Analysis on Hydromagnetic Reiner–Philippoff Fluid Flow with Cattaneo–Christov Double Diffusions," Mathematics, MDPI, vol. 10(9), pages 1-18, May.
    3. Khalil M. Khalil & A. Soleiman & Ahmed M. Megahed & W. Abbas, 2022. "Impact of Variable Fluid Properties and Double Diffusive Cattaneo–Christov Model on Dissipative Non-Newtonian Fluid Flow Due to a Stretching Sheet," Mathematics, MDPI, vol. 10(7), pages 1-12, April.
    4. Haifaa Alrihieli & Mohammed Alrehili & Ahmed M. Megahed, 2022. "Radiative MHD Nanofluid Flow Due to a Linearly Stretching Sheet with Convective Heating and Viscous Dissipation," Mathematics, MDPI, vol. 10(24), pages 1-13, December.
    5. Khalil Ur Rehman & Wasfi Shatanawi & Andaç Batur Çolak, 2023. "Computational Analysis on Magnetized and Non-Magnetized Boundary Layer Flow of Casson Fluid Past a Cylindrical Surface by Using Artificial Neural Networking," Mathematics, MDPI, vol. 11(2), pages 1-25, January.
    6. Iskandar Waini & Anuar Ishak & Ioan Pop, 2021. "Nanofluid Flow on a Shrinking Cylinder with Al 2 O 3 Nanoparticles," Mathematics, MDPI, vol. 9(14), pages 1-13, July.

    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:199:y:2022:i:c:p:438-462. 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.