IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i16p5133-d617903.html
   My bibliography  Save this article

Three-Dimensional Water-Based Magneto-Hydrodynamic Rotating Nanofluid Flow over a Linear Extending Sheet and Heat Transport Analysis: A Numerical Approach

Author

Listed:
  • Azad Hussain

    (Department of Mathematics, University of Gujrat, Gujrat 50700, Pakistan)

  • Mubashar Arshad

    (Department of Mathematics, University of Gujrat, Gujrat 50700, Pakistan)

  • Aysha Rehman

    (Department of Mathematics, University of Gujrat, Gujrat 50700, Pakistan)

  • Ali Hassan

    (Department of Mathematics, University of Gujrat, Gujrat 50700, Pakistan)

  • S. K. Elagan

    (Department of Mathematics and Statistics, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia)

  • Hijaz Ahmad

    (Section of Mathematics, International Telematic University Uninettuno, Corso Vittorio Emanuele II, 39, 00186 Roma, Italy)

  • Amira Ishan

    (Department of Mathematics and Statistics, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia)

Abstract

This comparative study inspects the heat transfer characteristics of magnetohydrodynamic (MHD) nanofluid flow. The model employed is a two-phase fluid flow model. Water is utilized as the base fluid, and zinc and titanium oxide ( Zn and TiO 2 ) are used as two different types of nanoparticles. The rotation of nanofluid is considered along the z -axis, with velocity ω * . A similarity transformation is used to transform the leading structure of partial differential equations to ordinary differential equations. By using a powerful mathematical BVP-4C technique, numerical results are obtained. This study aims to describe the possessions of different constraints on temperature and velocity for rotating nanofluid with a magnetic effect. The outcomes for the rotating nanofluid flow and heat transference properties for both types of nanoparticles are highlighted with the help of graphs and tables. The impact of physical concentrations such as heat transference rates and coefficients of skin friction are examined. It is noted that rotation increases the heat flux and decreases skin friction. In this comparative study, Zn -water nanofluid was demonstrated to be a worthy heat transporter as compared to TiO 2 -water nanofluid.

Suggested Citation

  • Azad Hussain & Mubashar Arshad & Aysha Rehman & Ali Hassan & S. K. Elagan & Hijaz Ahmad & Amira Ishan, 2021. "Three-Dimensional Water-Based Magneto-Hydrodynamic Rotating Nanofluid Flow over a Linear Extending Sheet and Heat Transport Analysis: A Numerical Approach," Energies, MDPI, vol. 14(16), pages 1-15, August.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:5133-:d:617903
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/16/5133/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/16/5133/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ganvir, R.B. & Walke, P.V. & Kriplani, V.M., 2017. "Heat transfer characteristics in nanofluid—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 451-460.
    2. W. Abbas & M. M. Magdy, 2020. "Heat and Mass Transfer Analysis of Nanofluid Flow Based on , , and over a Moving Rotating Plate and Impact of Various Nanoparticle Shapes," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-12, May.
    3. Azad Hussain & Mubashar Arshad & Aysha Rehman & Ali Hassan & Sayed K. Elagan & Nawal A. Alshehri, 2021. "Heat Transmission of Engine-Oil-Based Rotating Nanofluids Flow with Influence of Partial Slip Condition: A Computational Model," Energies, MDPI, vol. 14(13), pages 1-13, June.
    4. Azad Hussain & Aysha Rehman & Sohail Nadeem & M. Y. Malik & Alibek Issakhov & Lubna Sarwar & Shafiq Hussain, 2021. "A Combined Convection Carreau–Yasuda Nanofluid Model over a Convective Heated Surface near a Stagnation Point: A Numerical Study," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-14, April.
    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. Azad Hussain & Mubashar Arshad & Aysha Rehman & Ali Hassan & Sayed K. Elagan & Nawal A. Alshehri, 2021. "Heat Transmission of Engine-Oil-Based Rotating Nanofluids Flow with Influence of Partial Slip Condition: A Computational Model," Energies, MDPI, vol. 14(13), pages 1-13, June.
    2. Elif Begum Elcioglu, 2021. "A High-Accuracy Thermal Conductivity Model for Water-Based Graphene Nanoplatelet Nanofluids," Energies, MDPI, vol. 14(16), pages 1-11, August.
    3. Ma, Ting & Guo, Zhixiong & Lin, Mei & Wang, Qiuwang, 2021. "Recent trends on nanofluid heat transfer machine learning research applied to renewable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    4. Meznah M. Alanazi & Awatif A. Hendi & Qadeer Raza & M. Zubair Akbar Qureshi & Fatima Shafiq Hira & Bagh Ali & Nehad Ali Shah & Jae Dong Chung, 2022. "Significance of Multi-Hybrid Morphology Nanoparticles on the Dynamics of Water Fluid Subject to Thermal and Viscous Joule Performance," Mathematics, MDPI, vol. 10(22), pages 1-23, November.
    5. Xie, Zhiyong & Jian, Yongjun, 2020. "Electrokinetic energy conversion of nanofluids in MHD-based microtube," Energy, Elsevier, vol. 212(C).
    6. Xu, Yanyan & Xue, Yanqin & Qi, Hong & Cai, Weihua, 2021. "An updated review on working fluids, operation mechanisms, and applications of pulsating heat pipes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    7. Ali Hassan & Azad Hussain & Mubashar Arshad & Jan Awrejcewicz & Witold Pawlowski & Fahad M. Alharbi & Hanen Karamti, 2022. "Heat and Mass Transport Analysis of MHD Rotating Hybrid Nanofluids Conveying Silver and Molybdenum Di-Sulfide Nano-Particles under Effect of Linear and Non-Linear Radiation," Energies, MDPI, vol. 15(17), pages 1-19, August.
    8. You, Tian & Zhang, Yongzheng & Zhou, Sihan & Luo, Dan & Zhang, Linfeng, 2024. "Investigation on the heat transfer performance of a novel composite energy geo-structure with energy piles and boreholes," Renewable Energy, Elsevier, vol. 220(C).
    9. Ali Hassan & Qusain Haider & Najah Alsubaie & Fahad M. Alharbi & Abdullah Alhushaybari & Ahmed M. Galal, 2022. "Investigation of Mixed Convection in Spinning Nanofluid over Rotating Cone Using Artificial Neural Networks and BVP-4C Technique," Mathematics, MDPI, vol. 10(24), pages 1-20, December.
    10. 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).
    11. He, Ziqiang & Yan, Yunfei & Zhang, Zhien, 2021. "Thermal management and temperature uniformity enhancement of electronic devices by micro heat sinks: A review," Energy, Elsevier, vol. 216(C).
    12. Elsheikh, A.H. & Sharshir, S.W. & Mostafa, Mohamed E. & Essa, F.A. & Ahmed Ali, Mohamed Kamal, 2018. "Applications of nanofluids in solar energy: A review of recent advances," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3483-3502.
    13. Ramezanizadeh, Mahdi & Ahmadi, Mohammad Hossein & Nazari, Mohammad Alhuyi & Sadeghzadeh, Milad & Chen, Lingen, 2019. "A review on the utilized machine learning approaches for modeling the dynamic viscosity of nanofluids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    14. Sadegh Hosseini, Seyed Mohammad & Dehaj, Mohammad Shafiey, 2021. "An experimental study on energetic performance evaluation of a parabolic trough solar collector operating with Al2O3/water and GO/water nanofluids," Energy, Elsevier, vol. 234(C).
    15. Ambreen, Tehmina & Kim, Man-Hoe, 2018. "Heat transfer and pressure drop correlations of nanofluids: A state of art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 564-583.
    16. Gürdal, Mehmet & Arslan, Kamil & Gedik, Engin & Minea, Alina Adriana, 2022. "Effects of using nanofluid, applying a magnetic field, and placing turbulators in channels on the convective heat transfer: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    17. Bhalla, Vishal & Tyagi, Himanshu, 2018. "Parameters influencing the performance of nanoparticles-laden fluid-based solar thermal collectors: A review on optical properties," Renewable and Sustainable Energy Reviews, Elsevier, vol. 84(C), pages 12-42.
    18. Wenxiong Xi & Mengyao Xu & Kai Ma & Jian Liu, 2022. "Heat Transfer Enhancement Methods Applied in Energy Conversion, Storage and Propulsion Systems," Energies, MDPI, vol. 15(19), pages 1-3, October.

    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:jeners:v:14:y:2021:i:16:p:5133-:d:617903. 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.