IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i23p4532-d291851.html
   My bibliography  Save this article

Magnetic Field Effect on Thermal, Dielectric, and Viscous Properties of a Transformer Oil-Based Magnetic Nanofluid

Author

Listed:
  • Michal Rajnak

    (Institute of Experimental Physics SAS, Watsonova 47, 04001 Kosice, Slovakia
    Faculty of Electrical Engineering and Informatics, Technical University of Kosice, Letna 9, 04200 Kosice, Slovakia)

  • Zan Wu

    (Department of Energy Sciences, Lund University, 22100 Lund, Sweden)

  • Bystrik Dolnik

    (Faculty of Electrical Engineering and Informatics, Technical University of Kosice, Letna 9, 04200 Kosice, Slovakia)

  • Katarina Paulovicova

    (Institute of Experimental Physics SAS, Watsonova 47, 04001 Kosice, Slovakia)

  • Jana Tothova

    (Faculty of Electrical Engineering and Informatics, Technical University of Kosice, Letna 9, 04200 Kosice, Slovakia)

  • Roman Cimbala

    (Faculty of Electrical Engineering and Informatics, Technical University of Kosice, Letna 9, 04200 Kosice, Slovakia)

  • Juraj Kurimský

    (Faculty of Electrical Engineering and Informatics, Technical University of Kosice, Letna 9, 04200 Kosice, Slovakia)

  • Peter Kopcansky

    (Institute of Experimental Physics SAS, Watsonova 47, 04001 Kosice, Slovakia)

  • Bengt Sunden

    (Department of Energy Sciences, Lund University, 22100 Lund, Sweden)

  • Lars Wadsö

    (Division of Building Materials, Lund University, 22100 Lund, Sweden)

  • Milan Timko

    (Institute of Experimental Physics SAS, Watsonova 47, 04001 Kosice, Slovakia)

Abstract

Progress in electrical engineering puts a greater demand on the cooling and insulating properties of liquid media, such as transformer oils. To enhance their performance, researchers develop various nanofluids based on transformer oils. In this study, we focus on novel commercial transformer oil and a magnetic nanofluid containing iron oxide nanoparticles. Three key properties are experimentally investigated in this paper. Thermal conductivity was studied by a transient plane source method dependent on the magnetic volume fraction and external magnetic field. It is shown that the classical effective medium theory, such as the Maxwell model, fails to explain the obtained results. We highlight the importance of the magnetic field distribution and the location of the thermal conductivity sensor in the analysis of the anisotropic thermal conductivity. Dielectric permittivity of the magnetic nanofluid, dependent on electric field frequency and magnetic volume fraction, was measured by an LCR meter. The measurements were carried out in thin sample cells yielding unusual magneto-dielectric anisotropy, which was dependent on the magnetic volume fraction. Finally, the viscosity of the studied magnetic fluid was experimentally studied by means of a rheometer with a magneto-rheological device. The measurements proved the magneto-viscous effect, which intensifies with increasing magnetic volume fraction.

Suggested Citation

  • Michal Rajnak & Zan Wu & Bystrik Dolnik & Katarina Paulovicova & Jana Tothova & Roman Cimbala & Juraj Kurimský & Peter Kopcansky & Bengt Sunden & Lars Wadsö & Milan Timko, 2019. "Magnetic Field Effect on Thermal, Dielectric, and Viscous Properties of a Transformer Oil-Based Magnetic Nanofluid," Energies, MDPI, vol. 12(23), pages 1-11, November.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:23:p:4532-:d:291851
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/23/4532/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/23/4532/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiaobo Wang & Chao Tang & Bo Huang & Jian Hao & George Chen, 2018. "Review of Research Progress on the Electrical Properties and Modification of Mineral Insulating Oils Used in Power Transformers," Energies, MDPI, vol. 11(3), pages 1-31, February.
    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. Victor I. Bolobov & Il’nur U. Latipov & Valentin S. Zhukov & Gregory G. Popov, 2023. "Using the Magnetic Anisotropy Method to Determine Hydrogenated Sections of a Steel Pipeline," Energies, MDPI, vol. 16(15), pages 1-15, July.
    2. Patrice Estellé & Leonor Hernández López & Matthias H. Buschmann, 2020. "Special Issue of the 1st International Conference on Nanofluids (ICNf19)," Energies, MDPI, vol. 13(9), pages 1-4, May.

    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. Teresa Nogueira & José Carvalho & José Magano, 2022. "Eco-Friendly Ester Fluid for Power Transformers versus Mineral Oil: Design Considerations," Energies, MDPI, vol. 15(15), pages 1-18, July.
    2. Stephanie Azlyn Anak Felix & Muhamad Faiz Md Din & Asnor Mazuan Ishak & Jianli Wang & Nurul Hayati Idris & Wan Fathul Hakim Wan Zamri, 2023. "Investigation of the Electrical Properties of Mineral Oils with and without Carbon Nanotube Concentration under Different Magnetic Fields Applied in Transformer Applications," Energies, MDPI, vol. 16(8), pages 1-15, April.
    3. Ali A. Radwan & Ahmed A. Zaki Diab & Abo-Hashima M. Elsayed & Yehya S. Mohamed & Hassan Haes Alhelou & Pierluigi Siano, 2021. "Transformers Improvement and Environment Conservation by Using Synthetic Esters in Egypt," Energies, MDPI, vol. 14(7), pages 1-15, April.
    4. Leila Safiddine & Hadj-Ziane Zafour & Ungarala Mohan Rao & Issouf Fofana, 2019. "Regeneration of Transformer Insulating Fluids Using Membrane Separation Technology," Energies, MDPI, vol. 12(3), pages 1-13, January.
    5. Kakou D. Kouassi & Issouf Fofana & Ladji Cissé & Yazid Hadjadj & Kouba M. Lucia Yapi & K. Ambroise Diby, 2018. "Impact of Low Molecular Weight Acids on Oil Impregnated Paper Insulation Degradation," Energies, MDPI, vol. 11(6), pages 1-13, June.
    6. Maciej Zdanowski, 2020. "Streaming Electrification of Nycodiel 1255 Synthetic Ester and Trafo EN Mineral Oil Mixtures by Using Rotating Disc Method," Energies, MDPI, vol. 13(23), pages 1-14, November.
    7. Bo Gao & Rui Yu & Guangcai Hu & Cheng Liu & Xin Zhuang & Peng Zhou, 2019. "Development Processes of Surface Trucking and Partial Discharge of Pressboards Immersed in Mineral Oil: Effect of Tip Curvatures," Energies, MDPI, vol. 12(3), pages 1-14, February.
    8. Piotr Przybylek & Hubert Moranda & Hanna Moscicka-Grzesiak & Dominika Szczesniak, 2019. "Application of Synthetic Ester for Drying Distribution Transformer Insulation—The Influence of Cellulose Thickness on Drying Efficiency," Energies, MDPI, vol. 12(20), pages 1-16, October.
    9. Issouf Fofana & U. Mohan Rao, 2018. "Engineering Dielectric Liquid Applications," Energies, MDPI, vol. 11(10), pages 1-4, October.
    10. Maciej Zdanowski, 2022. "Streaming Electrification of C 60 Fullerene Doped Insulating Liquids for Power Transformers Applications," Energies, MDPI, vol. 15(7), pages 1-14, March.
    11. Issouf Fofana & Bo Zhang, 2022. "High-Voltage Engineering and Applications in Our Modern Society," Energies, MDPI, vol. 15(22), pages 1-4, November.
    12. Piotr Przybylek, 2018. "A New Concept of Applying Methanol to Dry Cellulose Insulation at the Stage of Manufacturing a Transformer," Energies, MDPI, vol. 11(7), pages 1-13, June.
    13. Maciej Zdanowski, 2020. "Electrostatic Charging Tendency Analysis Concerning Retrofilling Power Transformers with Envirotemp FR3 Natural Ester," Energies, MDPI, vol. 13(17), pages 1-11, August.
    14. Fabio Henrique Pereira & Francisco Elânio Bezerra & Shigueru Junior & Josemir Santos & Ivan Chabu & Gilberto Francisco Martha de Souza & Fábio Micerino & Silvio Ikuyo Nabeta, 2018. "Nonlinear Autoregressive Neural Network Models for Prediction of Transformer Oil-Dissolved Gas Concentrations," Energies, MDPI, vol. 11(7), pages 1-12, June.
    15. Sifeddine Abdi & Abderrahmane Manu Haddad & Noureddine Harid & Ahmed Boubakeur, 2022. "Modelling the Effect of Thermal Aging on Transformer Oil Electrical Characteristics Using a Regression Approach," Energies, MDPI, vol. 16(1), pages 1-12, December.

    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:12:y:2019:i:23:p:4532-:d:291851. 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.