IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i3p1076-d739810.html
   My bibliography  Save this article

Metal Additive Manufacturing for Electrical Machines: Technology Review and Latest Advancements

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

Metal additive manufacturing (AM) has been growing remarkably in the past few years. Thanks to the advantages of unmatched flexibility and zero material waste, this clean technology opens the door for new design solutions with greater material efficiency, which are not possible through conventional machining techniques. In this paper, we provide a technology overview of metal AM techniques that can be utilized in a wide range of applications, including constructing electrical machines. Different techniques of metal AM are discussed and compared. Additionally, the impact of the material forms (powder/wire) on printing speed and quality are studied. Based on the industrial and technical literature, this paper provides a comprehensive review of metal AM in the fabrication of electrical machines and their applications. This includes the current state of the art and associated benefits of AM in these applications.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:1076-:d:739810
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/3/1076/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/3/1076/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yuna Zhao & Dennis K. J. Lin & Min-Qian Liu, 2021. "Designs for order-of-addition experiments," Journal of Applied Statistics, Taylor & Francis Journals, vol. 48(8), pages 1475-1495, June.
    2. Kang, Yicheng & Shi, Yueyong & Jiao, Yuling & Li, Wendong & Xiang, Dongdong, 2021. "Fitting jump additive models," Computational Statistics & Data Analysis, Elsevier, vol. 162(C).
    3. Sun, Cheng & Wang, Yun & McMurtrey, Michael D. & Jerred, Nathan D. & Liou, Frank & Li, Ju, 2021. "Additive manufacturing for energy: A review," Applied Energy, Elsevier, vol. 282(PA).
    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. 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.
    2. 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.

    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. Li, Lei & Huang, Haihong & Zou, Xiang & Zhao, Fu & Li, Guishan & Liu, Zhifeng, 2021. "An energy-efficient service-oriented energy supplying system and control for multi-machine in the production line," Applied Energy, Elsevier, vol. 286(C).
    2. Mustafa Alnaeli & Mohammad Alnajideen & Rukshan Navaratne & Hao Shi & Pawel Czyzewski & Ping Wang & Sven Eckart & Ali Alsaegh & Ali Alnasif & Syed Mashruk & Agustin Valera Medina & Philip John Bowen, 2023. "High-Temperature Materials for Complex Components in Ammonia/Hydrogen Gas Turbines: A Critical Review," Energies, MDPI, vol. 16(19), pages 1-46, October.
    3. Junjun Liu & Yong Geng & Biao Chen & Xiqiang Xia, 2021. "The Effect of a Supplier’s Eco-Design on the Economic Benefits of a Supply Chain and Associated Coordination," IJERPH, MDPI, vol. 18(24), pages 1-18, December.
    4. Xu, Hong & Yu, Wenhui & Zhang, Yuan & Ma, Suli & Wu, Zhiyuan & Liu, Xiaohu, 2023. "Flow and heat transfer performance of bionic heat transfer structures with hybrid triply periodic minimal surfaces," Applied Energy, Elsevier, vol. 351(C).
    5. Rios, Nicholas & Winker, Peter & Lin, Dennis K.J., 2022. "TA algorithms for D-optimal OofA Mixture designs," Computational Statistics & Data Analysis, Elsevier, vol. 168(C).
    6. Hampton, Harrison & Foley, Aoife, 2022. "A review of current analytical methods, modelling tools and development frameworks applicable for future retail electricity market design," Energy, Elsevier, vol. 260(C).
    7. Gokan May & Foivos Psarommatis, 2023. "Maximizing Energy Efficiency in Additive Manufacturing: A Review and Framework for Future Research," Energies, MDPI, vol. 16(10), pages 1-28, May.
    8. Liu, Yiwei & Shen, Tianrun & Lv, Xiaochen & Zhang, Guang & Wang, Chao & Gu, Junping & Zhang, Xian & Wang, Qinggong & Chen, Xiong & Quan, Xiaojun & Yao, Wei, 2023. "Investigation on a lunar energy storage and conversion system based on the in-situ resources utilization," Energy, Elsevier, vol. 268(C).
    9. Piotr F. Borowski, 2021. "Digitization, Digital Twins, Blockchain, and Industry 4.0 as Elements of Management Process in Enterprises in the Energy Sector," Energies, MDPI, vol. 14(7), pages 1-20, March.
    10. Zhao, Yuna & Lin, Dennis K.J. & Liu, Min-Qian, 2022. "Optimal designs for order-of-addition experiments," Computational Statistics & Data Analysis, Elsevier, vol. 165(C).
    11. Taehyoung Noh & Kayoung Park & Ruijing Gao & Naoki Kimura & Gen Inoue & Yoshifumi Tsuge, 2022. "Effect of Double-Sided 3D Patterned Cathode Catalyst Layers on Polymer Electrolyte Fuel Cell Performance," Energies, MDPI, vol. 15(3), pages 1-15, February.
    12. Han Wang & Martin Baumers & Shreeja Basak & Yinfeng He & Ian Ashcroft, 2022. "The impact of the risk of build failure on energy consumption in additive manufacturing," Journal of Industrial Ecology, Yale University, vol. 26(5), pages 1771-1783, October.
    13. Kassie, Girma T. & Abdulai, Awudu & Haile, Aynalem & Yitayih, Mulugeta & Asnake, Woinishet & Rischkowsky, Barbara, 2023. "Understanding pastoralists’ preferences for goat traits: Application of all-levels and end-point choice experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 104(C).
    14. Dongying Wang & Sumin Wang, 2023. "Constructing Optimal Designs for Order-of-Addition Experiments Using a Hybrid Algorithm," Mathematics, MDPI, vol. 11(11), pages 1-20, May.

    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:3:p:1076-:d:739810. 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.