IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v14y2010i7p1913-1924.html
   My bibliography  Save this article

Techniques for measuring the thermal conductivity of nanofluids: A review

Author

Listed:
  • Paul, G.
  • Chopkar, M.
  • Manna, I.
  • Das, P.K.

Abstract

There has been a rapid progress in research activities concerning nanofluids since a large enhancement in their thermal conductivity has been reported a decade ago. While this extraordinary thermal conductivity of nanofluids deserves scientific investigation, the inconsistency and controversy of the results reported by different groups for identical nanofluids across the world raises fundamental doubts and poses a hindrance in the potential applications of nanofluids. This paper presents a critical review of the several techniques for the measurement of thermal conductivity of nanofluids employed by the researchers. Additionally, a detailed description of a unique thermal conductivity measurement device based on the thermal comparator principle, developed by the present authors has been described. Besides the principle of this measurement device, the constructional details have been elaborated. Finally, some suggestions have been made for improving the reliability of the measurement of thermal conductivity.

Suggested Citation

  • Paul, G. & Chopkar, M. & Manna, I. & Das, P.K., 2010. "Techniques for measuring the thermal conductivity of nanofluids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(7), pages 1913-1924, September.
    • Handle: RePEc:eee:rensus:v:14:y:2010:i:7:p:1913-1924
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364-0321(10)00072-9
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Kurt, Hüseyin & Kayfeci, Muhammet, 2009. "Prediction of thermal conductivity of ethylene glycol-water solutions by using artificial neural networks," Applied Energy, Elsevier, vol. 86(10), pages 2244-2248, October.
    2. Daungthongsuk, Weerapun & Wongwises, Somchai, 2007. "A critical review of convective heat transfer of nanofluids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(5), pages 797-817, June.
    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. Buratti, Cinzia & Barelli, Linda & Moretti, Elisa, 2012. "Application of artificial neural network to predict thermal transmittance of wooden windows," Applied Energy, Elsevier, vol. 98(C), pages 425-432.
    2. Rasheed, A.K. & Khalid, M. & Rashmi, W. & Gupta, T.C.S.M. & Chan, A., 2016. "Graphene based nanofluids and nanolubricants – Review of recent developments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 346-362.
    3. Azmi, W.H. & Sharif, M.Z. & Yusof, T.M. & Mamat, Rizalman & Redhwan, A.A.M., 2017. "Potential of nanorefrigerant and nanolubricant on energy saving in refrigeration system – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 415-428.
    4. Mahian, Omid & Mahmud, Shohel & Heris, Saeed Zeinali, 2012. "Analysis of entropy generation between co-rotating cylinders using nanofluids," Energy, Elsevier, vol. 44(1), pages 438-446.
    5. Al-Rashed, Abdullah A.A.A., 2019. "Optimization of heat transfer and pressure drop of nano-antifreeze using statistical method of response surface methodology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 531-542.
    6. Che Sidik, Nor Azwadi & Aisyah Razali, Siti, 2014. "Lattice Boltzmann method for convective heat transfer of nanofluids – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 864-875.
    7. Zhao, Ningbo & Li, Shuying & Yang, Jialong, 2016. "A review on nanofluids: Data-driven modeling of thermalphysical properties and the application in automotive radiator," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 596-616.
    8. Solangi, K.H. & Kazi, S.N. & Luhur, M.R. & Badarudin, A. & Amiri, A. & Sadri, Rad & Zubir, M.N.M. & Gharehkhani, Samira & Teng, K.H., 2015. "A comprehensive review of thermo-physical properties and convective heat transfer to nanofluids," Energy, Elsevier, vol. 89(C), pages 1065-1086.
    9. Salahuddin, T. & Sakinder, S. & Alharbi, Sayer Obaid & Abdelmalek, Zahra, 2021. "A brief comparative study of gamma alumina–water and gamma alumina–EG nanofluids flow near a solid sphere," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 181(C), pages 487-500.
    10. Chen, Zhixiong & Ashkezari, Abbas Zarenezhad & Tlili, Iskander, 2020. "Applying artificial neural network and curve fitting method to predict the viscosity of SAE50/MWCNTs-TiO2 hybrid nanolubricant," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    11. Peng, Yeping & Parsian, Amir & Khodadadi, Hossein & Akbari, Mohammad & Ghani, Kamal & Goodarzi, Marjan & Bach, Quang-Vu, 2020. "Develop optimal network topology of artificial neural network (AONN) to predict the hybrid nanofluids thermal conductivity according to the empirical data of Al2O3 – Cu nanoparticles dispersed in ethy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    12. Jacek Fal & Omid Mahian & Gaweł Żyła, 2018. "Nanofluids in the Service of High Voltage Transformers: Breakdown Properties of Transformer Oils with Nanoparticles, a Review," Energies, MDPI, vol. 11(11), pages 1-46, October.
    13. Sundar, L. Syam & Sharma, K.V. & Naik, M.T. & Singh, Manoj K., 2013. "Empirical and theoretical correlations on viscosity of nanofluids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 670-686.
    14. Sharma, Anuj Kumar & Tiwari, Arun Kumar & Dixit, Amit Rai, 2016. "Rheological behaviour of nanofluids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 779-791.
    15. Sarkar, Jahar, 2011. "A critical review on convective heat transfer correlations of nanofluids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3271-3277, August.
    16. Biswal, Pratibha & Basak, Tanmay, 2017. "Entropy generation vs energy efficiency for natural convection based energy flow in enclosures and various applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1412-1457.
    17. Fasano, Matteo & Bozorg Bigdeli, Masoud & Vaziri Sereshk, Mohammad Rasool & Chiavazzo, Eliodoro & Asinari, Pietro, 2015. "Thermal transmittance of carbon nanotube networks: Guidelines for novel thermal storage systems and polymeric material of thermal interest," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1028-1036.
    18. Karatas, Mehmet & Bicen, Yunus, 2022. "Nanoparticles for next-generation transformer insulating fluids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    19. Shahrul, I.M. & Mahbubul, I.M. & Khaleduzzaman, S.S. & Saidur, R. & Sabri, M.F.M., 2014. "A comparative review on the specific heat of nanofluids for energy perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 88-98.
    20. Suman, Siddharth & Khan, Mohd. Kaleem & Pathak, Manabendra, 2015. "Performance enhancement of solar collectors—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 192-210.

    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:rensus:v:14:y:2010:i:7:p:1913-1924. 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.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.