IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v545y2020ics037843711932117x.html
   My bibliography  Save this article

Heat transfer and fluid flow for tube included a porous media: Assessment and Multi-Objective Optimization Using Particle Swarm Optimization (PSO) Algorithm

Author

Listed:
  • Keykhah, Sajjad
  • Assareh, Ehsanolah
  • Moltames, Rahim
  • Izadi, Mohsen
  • Ali, Hafiz Muhammad

Abstract

Increasing efficiency, improving energy consumption, and optimizing energy in industries are more than ever considered by researchers. Some methods such as nanoparticles use and porous medium are used to increase the heat transfer rate. For this reason, in this paper, simulation and optimization of a two-dimensional tube with the presence of water–silver nanofluid and porous media have been performed to improve heat transfer. Different profiles of the rate, pressure, and temperature of the two-dimensional tube at volume fraction, porosity coefficient and Darcy numbers have been obtained and finally, the results are compared. Then, the Nusselt number and the friction coefficient in the range of Darcy numbers, porosity coefficient, different R1, and R2 were investigated. The results show that the Nusselt number and the friction coefficient increases and decreases with increasing the Darcy number, respectively and also, the Nusselt number and the friction coefficient reduces by increasing the porosity coefficient. Particle swarm algorithm method is used to optimize the results. Three methods of Shannon entropy, LINMAP and TOPSIS were examined to obtain the best solutions for the two objective functions studied in this study. The results showed that the Shannon entropy method show more optimal results. Finally, we can say that the best final value for the Nusselt number is 387.42 and for the coefficient friction is -0.02469. These values are obtained by taking the porosity, internal radius, external radius, and friction coefficient as 0.98, 0.05, 0.9, and 0.00228, respectively.

Suggested Citation

  • Keykhah, Sajjad & Assareh, Ehsanolah & Moltames, Rahim & Izadi, Mohsen & Ali, Hafiz Muhammad, 2020. "Heat transfer and fluid flow for tube included a porous media: Assessment and Multi-Objective Optimization Using Particle Swarm Optimization (PSO) Algorithm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    • Handle: RePEc:eee:phsmap:v:545:y:2020:i:c:s037843711932117x
    DOI: 10.1016/j.physa.2019.123804
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843711932117X
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2019.123804?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. Izadi, Mohsen & Mohebbi, Rasul & Sajjadi, Hasan & Delouei, Amin Amiri, 2019. "LTNE modeling of Magneto-Ferro natural convection inside a porous enclosure exposed to nonuniform magnetic field," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    2. Manikandan, S. & Rajan, K.S., 2015. "MgO-Therminol 55 nanofluids for efficient energy management: Analysis of transient heat transfer performance," Energy, Elsevier, vol. 88(C), pages 408-416.
    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. He, Zhaoyu & Guo, Weimin & Zhang, Peng, 2022. "Performance prediction, optimal design and operational control of thermal energy storage using artificial intelligence methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    2. Atasoy, Erkan & Çetin, Barbaros & Bayer, Özgür, 2022. "Experiment-based optimization of an energy-efficient heat pump integrated water heater for household appliances," Energy, Elsevier, vol. 245(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. Suganthi, K.S. & Rajan, K.S., 2017. "Metal oxide nanofluids: Review of formulation, thermo-physical properties, mechanisms, and heat transfer performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 226-255.
    2. Manikandan, S. & Rajan, K.S., 2016. "Sand-propylene glycol-water nanofluids for improved solar energy collection," Energy, Elsevier, vol. 113(C), pages 917-929.
    3. Zhen Zhao & Liang Xu & Jianmin Gao & Lei Xi & Qicheng Ruan & Yunlong Li, 2022. "Multi-Objective Optimization of Parameters of Channels with Staggered Frustum of a Cone Based on Response Surface Methodology," Energies, MDPI, vol. 15(3), pages 1-19, February.
    4. Chandran, M. Neelesh & Manikandan, S. & Suganthi, K.S. & Rajan, K.S., 2017. "Novel hybrid nanofluid with tunable specific heat and thermal conductivity: Characterization and performance assessment for energy related applications," Energy, Elsevier, vol. 140(P1), pages 27-39.
    5. Yedhu Krishnan, R. & Manikandan, S. & Suganthi, K.S. & Leela Vinodhan, V. & Rajan, K.S., 2016. "Novel copper – Propylene glycol nanofluid as efficient thermic fluid for potential application in discharge cycle of thermal energy storage," Energy, Elsevier, vol. 107(C), pages 482-492.
    6. Tayebi, Tahar & Chamkha, Ali J. & Öztop, Hakan F. & Bouzeroura, Lynda, 2022. "Local thermal non-equilibrium (LTNE) effects on thermal-free convection in a nanofluid-saturated horizontal elliptical non-Darcian porous annulus," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 194(C), pages 124-140.

    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:phsmap:v:545:y:2020:i:c:s037843711932117x. 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/physica-a-statistical-mechpplications/ .

    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.