IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i21p7458-d1275052.html
   My bibliography  Save this article

Design and Experimental Verification of Hubless Rim-Driven Propulsor Consisting of Bearingless Propeller for an Unmanned Underwater Drone

Author

Listed:
  • Myoung-Su Kim

    (Sansystech, Busan 46918, Republic of Korea)

  • Sung-An Kim

    (Electric Power Machinery Team, Electric Propulsion Safety Technology Center, Ulsan Headquarters, Korea Marine Equipment Research Institute, Ulsan 44776, Republic of Korea)

Abstract

This paper presents the design and experimental verification of a hubless rim-driven propulsor (HRDP) for an unmanned underwater drone. The bearings of the HRDP are required to rotate and fix the propeller. However, the bearing increases the weight and size of the propulsor. Therefore, this paper proposes a structure in which the rotor of a surface-mounted permanent magnet synchronous motor (SPMSM) and a hubless propeller are combined without the bearings in the rim-driven propulsor. The design procedure of the propulsor is established and the response surface method (RSM) is used to design and optimize the proposed structure. The validity of the HRDP with the proposed structure is verified through simulation results using an electromagnetic field (EF) analysis and computational fluid analysis, and test results using a water tank. Finally, compared to the initial HRDP, the weight of the SPMSM in the optimized HRDP is decreased by 7.3%, and by reducing the required torque by about 19%, power consumption is reduced by about 24.66 W.

Suggested Citation

  • Myoung-Su Kim & Sung-An Kim, 2023. "Design and Experimental Verification of Hubless Rim-Driven Propulsor Consisting of Bearingless Propeller for an Unmanned Underwater Drone," Energies, MDPI, vol. 16(21), pages 1-16, November.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:21:p:7458-:d:1275052
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/21/7458/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/21/7458/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lahcen Amri & Smail Zouggar & Jean-Frédéric Charpentier & Mohamed Kebdani & Abdelhamid Senhaji & Abdelilah Attar & Farid Bakir, 2023. "Design and Optimization of Synchronous Motor Using PM Halbach Arrays for Rim-Driven Counter-Rotating Pump," Energies, MDPI, vol. 16(7), pages 1-17, March.
    2. Sung-An Kim, 2021. "A Study on the Predictive Maintenance Algorithms Considering Load Characteristics of PMSMs to Drive EGR Blowers for Smart Ships," Energies, MDPI, vol. 14(18), pages 1-13, September.
    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.

      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:16:y:2023:i:21:p:7458-:d:1275052. 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.