IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i21p7862-d951119.html
   My bibliography  Save this article

Non-Destructive Electromagnetic Evaluation of Material Degradation Due to Steel Cutting in a Fully Stacked Electrical Machine

Author

Listed:
  • Ahmed Selema

    (Department of Electromechanical, Systems, and Metal Engineering, Ghent University, 9000 Ghent, Belgium
    FlandersMake@UGent, Core Lab EEDT-MP, 3001 Leuven, Belgium
    Department of Electrical Engineering, Faculty of Engineering, Menoufia University, Menoufia 32511, Egypt)

  • Mohamed N. Ibrahim

    (Department of Electromechanical, Systems, and Metal Engineering, Ghent University, 9000 Ghent, Belgium
    FlandersMake@UGent, Core Lab EEDT-MP, 3001 Leuven, Belgium
    Department of Electrical Engineering, Kafrelshiekh University, Kafrelshiekh 33511, Egypt)

  • Peter Sergeant

    (Department of Electromechanical, Systems, and Metal Engineering, Ghent University, 9000 Ghent, Belgium
    FlandersMake@UGent, Core Lab EEDT-MP, 3001 Leuven, Belgium)

Abstract

Although it is well known that the magnetic properties of electrical steel can be deeply affected by the cutting process, it is still not clear how to accurately evaluate these effects on a prototyped machine on its final shape, especially at a high frequency or a high power rating. This research provides a more practical method for accurate measurement of magnetic losses in electrical steel with consideration of material degradation effects due to the cutting process. Unlike other similar studies, these investigations are conducted not only on a few laminations but also on a complete electrical machine core. For a fair comparison between both cases, backlack bonding is used for lamination stacking since it is the most non-damaging joining technique. Two different test setups are used to measure the steel performance at a wide range of frequency and input power. Furthermore, a full axial length stator of a switched reluctance machine (SRM) is used as a case study to identify the magnetic properties of NO20 electrical steel. Additionally, by comparing the results obtained from the individual laminations and the assembled stator, the extra losses due to the cutting process and material degradation are extracted accurately.

Suggested Citation

  • Ahmed Selema & Mohamed N. Ibrahim & Peter Sergeant, 2022. "Non-Destructive Electromagnetic Evaluation of Material Degradation Due to Steel Cutting in a Fully Stacked Electrical Machine," Energies, MDPI, vol. 15(21), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:7862-:d:951119
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/21/7862/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/21/7862/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ahmed Selema & Mohamed N. Ibrahim & Peter Sergeant, 2022. "Metal Additive Manufacturing for Electrical Machines: Technology Review and Latest Advancements," Energies, MDPI, vol. 15(3), pages 1-18, January.
    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. Ahmed Selema, 2023. "Material Tradeoff of Rotor Architecture for Lightweight Low-Loss Cost-Effective Sustainable Electric Drivetrains," Sustainability, MDPI, vol. 15(19), pages 1-22, October.
    2. Maria Dems & Zbigniew Gmyrek & Krzysztof Komeza, 2023. "The Influence of Cutting Technology on Magnetic Properties of Non-Oriented Electrical Steel—Review State of the Art," Energies, MDPI, vol. 16(11), pages 1-26, 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. Salmon, F. & Ghadim, H. Benisi & Godin, A. & Haillot, D. & Veillere, A. & Lacanette, D. & Duquesne, M., 2024. "Optimizing performance for cooling electronic components using innovative heterogeneous materials," Applied Energy, Elsevier, vol. 362(C).
    2. Kyoung-Soo Cha & Jae-Hyun Kim & Sung-Woo Hwang & Myung-Seop Lim & Soo-Hwan Park, 2024. "High-Efficiency e-Powertrain Topology by Integrating Open-End Winding and Winding Changeover for Improving Fuel Economy of Electric Vehicles," Mathematics, MDPI, vol. 12(21), pages 1-19, October.
    3. Hans Tiismus & Ants Kallaste & Toomas Vaimann & Liina Lind & Indrek Virro & Anton Rassõlkin & Tatjana Dedova, 2022. "Laser Additively Manufactured Magnetic Core Design and Process for Electrical Machine Applications," Energies, MDPI, vol. 15(10), pages 1-26, May.
    4. Gobbi, Massimiliano & Sattar, Aqeab & Palazzetti, Roberto & Mastinu, Gianpiero, 2024. "Traction motors for electric vehicles: Maximization of mechanical efficiency – A review," Applied Energy, Elsevier, vol. 357(C).

    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:15:y:2022:i:21:p:7862-:d:951119. 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.