IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i9p1580-d810441.html
   My bibliography  Save this article

Steady Flow of Burgers’ Nanofluids over a Permeable Stretching/Shrinking Surface with Heat Source/Sink

Author

Listed:
  • Rusya Iryanti Yahaya

    (Institute for Mathematical Research, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia)

  • Norihan Md Arifin

    (Institute for Mathematical Research, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
    Department of Mathematics, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia)

  • Ioan Pop

    (Department of Mathematics, Babeş-Bolyai University, R-400084 Cluj-Napoca, Romania)

  • Fadzilah Md Ali

    (Institute for Mathematical Research, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
    Department of Mathematics, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia)

  • Siti Suzilliana Putri Mohamed Isa

    (Centre of Foundation Studies for Agricultural Science, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia)

Abstract

An engineered fluid, called nanofluid, is expected to have better thermal conductivity than conventional working fluids. The superior heat transfer performance and various possible applications promote the analysis of nanofluids in different flow geometries. This paper studies the flow of non-Newtonian Burgers’ nanofluids over a permeable stretching/shrinking surface with a heat source/sink. In the current study, we highlight the use of the single-phase nanofluid model in studying the boundary layer flow. The basic partial differential equations are transformed into ordinary (similarity) differential equations. Then, the resulting equations and boundary conditions are solved numerically in MATLAB using the bvp4c package. Triple solutions are presented, and stability analysis certifies that the first solution is physically realizable in practice. It is found that the increment of the heat source parameter raised the temperature profile of the nanofluids. Al 2 O 3 /H 2 O and Cu/H 2 O nanofluids produced the highest skin friction coefficient in the flow over stretching and shrinking surfaces, respectively. Meanwhile, Cu/H 2 O nanofluid showed a better heat transfer performance when compared to Al 2 O 3 /H 2 O and TiO 2 /H 2 O nanofluids. The present study is novel and could serve as a reference to other researchers for further analysis of heat transfer performance and the rheological behavior of nanofluids.

Suggested Citation

  • Rusya Iryanti Yahaya & Norihan Md Arifin & Ioan Pop & Fadzilah Md Ali & Siti Suzilliana Putri Mohamed Isa, 2022. "Steady Flow of Burgers’ Nanofluids over a Permeable Stretching/Shrinking Surface with Heat Source/Sink," Mathematics, MDPI, vol. 10(9), pages 1-22, May.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:9:p:1580-:d:810441
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/9/1580/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/10/9/1580/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hassan Waqas & Umair Manzoor & Zahir Shah & Muhammad Arif & Meshal Shutaywi, 2021. "Magneto-Burgers Nanofluid Stratified Flow with Swimming Motile Microorganisms and Dual Variables Conductivity Configured by a Stretching Cylinder/Plate," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-16, January.
    2. Nur Syahirah Wahid & Norihan Md Arifin & Najiyah Safwa Khashi’ie & Ioan Pop, 2020. "Hybrid Nanofluid Slip Flow over an Exponentially Stretching/Shrinking Permeable Sheet with Heat Generation," Mathematics, MDPI, vol. 9(1), pages 1-20, December.
    3. Kotha Gangadhar & Manda Aruna Kumari & M. Venkata Subba Rao & Khaled Alnefaie & Ilyas Khan & Mulugeta Andualem & Xiantao Jiang, 2022. "Magnetization for Burgers’ Fluid Subject to Convective Heating and Heterogeneous-Homogeneous Reactions," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-15, February.
    4. I. Ahmad & N. Ali & A. Abbasi & W. Aziz & M. Hussain & M. Ahmad & M. Taj & Q. Zaman, 2014. "Flow of a Burger’s Fluid in a Channel Induced by Peristaltic Compliant Walls," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-12, October.
    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. Javali Kotresh Madhukesh & Ioannis E. Sarris & Ballajja Chandrappa Prasannakumara & Amal Abdulrahman, 2023. "Investigation of Thermal Performance of Ternary Hybrid Nanofluid Flow in a Permeable Inclined Cylinder/Plate," Energies, MDPI, vol. 16(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:gam:jmathe:v:10:y:2022:i:9:p:1580-:d:810441. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.