Understanding the Hydrodynamics of Swimming: From Fish Fins to Flexible Propulsors for Autonomous Underwater Vehicles

被引:0
|
作者
Bozkurttas, Meliha [1 ]
Tangorra, James [2 ]
Lauder, George [3 ]
Mittal, Rajat [4 ]
机构
[1] Exa Corp, Burlington, MA 01803 USA
[2] Drexel Univ, Dept Engn Mech, Philadelphia, PA 19104 USA
[3] Harvard Univ, Museum Comparat Zool, Cambridge, MD 02138 USA
[4] George Washington Univ, Dept Mech & Aerosp Engn, Washington, DC 20052 USA
来源
关键词
CFD; POD; bio-mimetic; pectoral fin;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The research effort described here is concerned with developing a maneuvering propulsor for an autonomous underwater vehicle (AUV's) based on the mechanical design and performance of sunfish pectoral fin. Bluegill sunfish (Lepomis macrochirus) are highly maneuverable bony fishes that have been the subject of a number of experimental analyses of locomotor function [5, 6]. Although swimming generally involves the coordinated movement of many fin surfaces, the sunfish is capable of propulsion and maneuvering using almost exclusively the pectoral fins. They use pectoral fins exclusively for propulsion at speeds of less than 1.1 body length per second (BL/s). The curve in Fig. 1 depicts two peaks of body acceleration of bluegill sunfish during steady forward swimming. These abilities are the direct result of their pectoral fins being highly deformable control surfaces that can create vectored thrust. The motivation here is that by understanding these complex, highly controlled movements and by borrowing appropriately from pectoral fin design, a bio-robotic propulsor can be designed to provide vectored thrust and high levels of control to AUVs. This paper will focus on analyses of bluegill sunfish's pectoral fin hydrodynamics which were carried out to guide the design of a flexible propulsor for AUV's.
引用
收藏
页码:193 / +
页数:3
相关论文
共 50 条
  • [41] Towards Non-invasive Fish Monitoring in Hard-to-Access Habitats Using Autonomous Underwater Vehicles and Machine Learning
    Zach, Juri
    Busse, Christian
    Funk, Steffen
    Moellmann, Christian
    Renner, Bernd-Christian
    Tiedemann, Tim
    OCEANS 2021: SAN DIEGO - PORTO, 2021,
  • [42] Direction of Arrival Estimation and Highlighting Characteristics of Testing Wideband Echoes from Multiple Autonomous Underwater Vehicles
    Yin, Xiaofeng
    Zhang, Peizhen
    Zhou, Guangbo
    Feng, Ziyi
    SENSORS, 2023, 23 (19)
  • [43] FLEXIBLE, ZERO POWERED, PIEZOELECTRIC MEMS PRESSURE SENSOR ARRAYS FOR FISH-LIKE PASSIVE UNDERWATER SENSING IN MARINE VEHICLES
    Asadnia, M.
    Kottapalli, A. G. P.
    Shen, Z.
    Miao, J. M.
    Barbastathis, G.
    Triantafyllou, M. S.
    26TH IEEE INTERNATIONAL CONFERENCE ON MICRO ELECTRO MECHANICAL SYSTEMS (MEMS 2013), 2013, : 126 - 129
  • [44] HIGH-FIDELITY SIMULATION PLATFORM FOR AUTONOMOUS FISH NET-PEN VISUAL INSPECTION WITH UNMANNED UNDERWATER VEHICLES IN OFFSHORE AQUACULTURE
    Tunt, Thein Than
    Huang, Loulin
    Preece, Mark Anthony
    PROCEEDINGS OF ASME 2024 43RD INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, OMAE2024, VOL 9, 2024,
  • [45] Volumetric Reconstruction of Oceanographic Fields Estimated From Remote Sensing and In Situ Observations From Autonomous Underwater Vehicles of Opportunity
    Alvarez, Alberto
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2011, 36 (01) : 12 - 24
  • [46] Tracking Controllers to Chase a Target Using Multiple Autonomous Underwater Vehicles Measuring the Sound Emitted From the Target
    Kim, Jonghoek
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (07): : 4579 - 4587
  • [47] STA-based design of an adaptive disturbance observer for autonomous underwater vehicles: From concept to real-time validation
    Guerrero, Jesus
    Chemori, Ahmed
    Torres, Jorge
    Creuze, Vincent
    CONTROL ENGINEERING PRACTICE, 2024, 144
  • [48] Planning and Implementing Trajectories for Autonomous Underwater Vehicles to Track Evolving Ocean Processes Based on Predictions from a Regional Ocean Model
    Smith, Ryan N.
    Chao, Yi
    Li, Peggy P.
    Caron, David A.
    Jones, Burton H.
    Sukhatme, Gaurav S.
    INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2010, 29 (12): : 1475 - 1497
  • [49] Acoustic telemetry payload control for responsive multi-fish surveys from a single-hydrophone autonomous underwater vehicle
    Dodson, Tom C.
    Grothues, Thomas M.
    Eiler, John H.
    Dobarro, Joseph A.
    Shome, Rahul
    OCEANS 2017 - ANCHORAGE, 2017,
  • [50] High-Bit-Rate Acoustic Communications In Challenging Underwater Environments Real-Time Transmission of High-Resolution Sonar Images From Autonomous Underwater Vehicles in Ports and Shallow Waters
    Beaujean, Pierre-Philippe J.
    Carlson, Edward A.
    Spruance, John C.
    SEA TECHNOLOGY, 2009, 50 (05) : 17 - +