IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v168y2020icp90-110.html
   My bibliography  Save this article

Homogeneous and heterogeneous reactions in a nanofluid flow due to a rotating disk of variable thickness using HAM

Author

Listed:
  • Doh, Deog-Hee
  • Muthtamilselvan, M.
  • Swathene, B.
  • Ramya, E.

Abstract

Present study deals with the magnetohydrodynamic flow of nanofluid in a rotating disk with variable thickness in the presence of injection / suction parameter. In this paper, water is considered as a base fluid and silver as a nanoparticle. Primarily, Generalized Von Karman transformations are applied to attain the ordinary differential equations from the nonlinear partial differential equations. By employing HAM technique, the characteristics of flow and heat transfer are computed. Heat and Mass transfer subject to volume fraction of silver nanoparticles in the presence of injection / suction are investigated. Homogeneous and Heterogeneous reactions are taken into account. Impact of pertinent parameters such as disk thickness index, dimensionless constant, Reynolds number, Grashof number, magnetic parameter, Prandtl number on velocity, temperature and concentration are investigated. It is observed that with an increase in disk thickness the radial, axial and azimuthal velocities are enhanced. Magnitude of concentration increases for larger Schmidt number.

Suggested Citation

  • Doh, Deog-Hee & Muthtamilselvan, M. & Swathene, B. & Ramya, E., 2020. "Homogeneous and heterogeneous reactions in a nanofluid flow due to a rotating disk of variable thickness using HAM," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 168(C), pages 90-110.
    • Handle: RePEc:eee:matcom:v:168:y:2020:i:c:p:90-110
    DOI: 10.1016/j.matcom.2019.08.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475419302344
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.matcom.2019.08.005?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. Rashidi, M.M. & Ali, M. & Freidoonimehr, N. & Nazari, F., 2013. "Parametric analysis and optimization of entropy generation in unsteady MHD flow over a stretching rotating disk using artificial neural network and particle swarm optimization algorithm," Energy, Elsevier, vol. 55(C), pages 497-510.
    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. Bhandari, Anupam, 2020. "Study of ferrofluid flow in a rotating system through mathematical modeling," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 178(C), pages 290-306.
    2. Patil, P.M. & Benawadi, Sunil & Shanker, Bandari, 2022. "Influence of mixed convection nanofluid flow over a rotating sphere in the presence of diffusion of liquid hydrogen and ammonia," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 194(C), pages 764-781.
    3. Naganthran, Kohilavani & Mustafa, Meraj & Mushtaq, Ammar & Nazar, Roslinda, 2020. "Dual solutions for fluid flow over a stretching/shrinking rotating disk subject to variable fluid properties," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).
    4. Shahid, A. & Huang, H.L. & Bhatti, M.M. & Marin, M., 2022. "Numerical computation of magnetized bioconvection nanofluid flow with temperature-dependent viscosity and Arrhenius kinetic," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 200(C), pages 377-392.
    5. Yasir Mehmood & Ramsha Shafqat & Ioannis E. Sarris & Muhammad Bilal & Tanveer Sajid & Tasneem Akhtar, 2022. "Numerical Investigation of MWCNT and SWCNT Fluid Flow along with the Activation Energy Effects over Quartic Auto Catalytic Endothermic and Exothermic Chemical Reactions," Mathematics, MDPI, vol. 10(24), pages 1-21, December.

    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. Sheikholeslami, Mohsen & Ganji, Davood Domiri, 2014. "Ferrohydrodynamic and magnetohydrodynamic effects on ferrofluid flow and convective heat transfer," Energy, Elsevier, vol. 75(C), pages 400-410.
    2. Dalir, Nemat & Dehsara, Mohammad & Nourazar, S. Salman, 2015. "Entropy analysis for magnetohydrodynamic flow and heat transfer of a Jeffrey nanofluid over a stretching sheet," Energy, Elsevier, vol. 79(C), pages 351-362.
    3. Sheikholeslami, M. & Gorji-Bandpy, M. & Ganji, D.D., 2013. "Numerical investigation of MHD effects on Al2O3–water nanofluid flow and heat transfer in a semi-annulus enclosure using LBM," Energy, Elsevier, vol. 60(C), pages 501-510.
    4. Mousapour, Ashkan & Hajipour, Alireza & Rashidi, Mohammad Mehdi & Freidoonimehr, Navid, 2016. "Performance evaluation of an irreversible Miller cycle comparing FTT (finite-time thermodynamics) analysis and ANN (artificial neural network) prediction," Energy, Elsevier, vol. 94(C), pages 100-109.
    5. Shehata, Ahmed S. & Saqr, Khalid M. & Xiao, Qing & Shehadeh, Mohamed F. & Day, Alexander, 2016. "Performance analysis of wells turbine blades using the entropy generation minimization method," Renewable Energy, Elsevier, vol. 86(C), pages 1123-1133.
    6. Sciacovelli, A. & Verda, V. & Sciubba, E., 2015. "Entropy generation analysis as a design tool—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 1167-1181.
    7. Taghavifar, Hadi & Khalilarya, Shahram & Jafarmadar, Samad, 2014. "Diesel engine spray characteristics prediction with hybridized artificial neural network optimized by genetic algorithm," Energy, Elsevier, vol. 71(C), pages 656-664.
    8. Gonca, Guven, 2017. "Exergetic and ecological performance analyses of a gas turbine system with two intercoolers and two re-heaters," Energy, Elsevier, vol. 124(C), pages 579-588.
    9. Zhijian Liu & Hao Li & Xinyu Zhang & Guangya Jin & Kewei Cheng, 2015. "Novel Method for Measuring the Heat Collection Rate and Heat Loss Coefficient of Water-in-Glass Evacuated Tube Solar Water Heaters Based on Artificial Neural Networks and Support Vector Machine," Energies, MDPI, vol. 8(8), pages 1-21, August.
    10. Torabi, Mohsen & Karimi, Nader & Zhang, Kaili, 2015. "Heat transfer and second law analyses of forced convection in a channel partially filled by porous media and featuring internal heat sources," Energy, Elsevier, vol. 93(P1), pages 106-127.
    11. Rashidi, M.M. & Aghagoli, A. & Raoofi, R., 2017. "Thermodynamic analysis of the ejector refrigeration cycle using the artificial neural network," Energy, Elsevier, vol. 129(C), pages 201-215.

    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:168:y:2020:i:c:p:90-110. 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.