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Innovative Energy-Saving Propulsion System for Low-Speed Biomimetic Underwater Vehicles

Author

Listed:
  • Paweł Piskur

    (Faculty of Mechanical and Electrical Engineering, Polish Naval Academy, Smidowicza 69, 81-127 Gdynia, Poland)

  • Piotr Szymak

    (Faculty of Mechanical and Electrical Engineering, Polish Naval Academy, Smidowicza 69, 81-127 Gdynia, Poland)

  • Michał Przybylski

    (Faculty of Mechanical and Electrical Engineering, Polish Naval Academy, Smidowicza 69, 81-127 Gdynia, Poland)

  • Krzysztof Naus

    (Department of Navigation, Polish Naval Academy, Smidowicza 69, 81-127 Gdynia, Poland)

  • Krzysztof Jaskólski

    (Department of Navigation, Polish Naval Academy, Smidowicza 69, 81-127 Gdynia, Poland)

  • Mariusz Żokowski

    (Air Force Institute of Technology, Ks. Boleslawa 6, 01-494 Warsaw, Poland)

Abstract

This article covers research on an innovative propulsion system design for a Biomimetic Unmanned Underwater Vehicle (BUUV) operating at low speeds. The experiment was conducted on a laboratory test water tunnel equipped with specialised sensor equipment to assess the Fluid-Structure Interaction (FSI) and energy consumption of two different types of propulsion systems. The experimental data contrast the undulating with the drag-based propulsion system. The additional joint in the drag-based propulsion system is intended to increase thrust and decrease energy input. The tests were conducted at a variety of fins oscillation frequencies and fluid velocities. The experiments demonstrate that, in the region of low-speed forward movement, the efficiency of the propulsion system with the additional joint is greater.

Suggested Citation

  • Paweł Piskur & Piotr Szymak & Michał Przybylski & Krzysztof Naus & Krzysztof Jaskólski & Mariusz Żokowski, 2021. "Innovative Energy-Saving Propulsion System for Low-Speed Biomimetic Underwater Vehicles," Energies, MDPI, vol. 14(24), pages 1-15, December.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:24:p:8418-:d:701723
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    References listed on IDEAS

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    Cited by:

    1. Stanisław Hożyń, 2023. "Convolutional Neural Networks for Classifying Electronic Components in Industrial Applications," Energies, MDPI, vol. 16(2), pages 1-22, January.
    2. Paweł Piskur, 2022. "Side Fins Performance in Biomimetic Unmanned Underwater Vehicle," Energies, MDPI, vol. 15(16), pages 1-14, August.

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