• DocumentCode
    651052
  • Title

    Application of FSI (Fluid Structure Interaction) to biomimetic robot fish

  • Author

    Hoon Chae Park ; Ji Eun Lee ; Hang Seok Choi ; Jinho Kyung ; Dongwon Yun ; Sanghyun Jeong ; Youngsun Ryu

  • Author_Institution
    Dept. of Environ. Eng., Yonsei Univ., Wonju, South Korea
  • fYear
    2013
  • fDate
    Oct. 30 2013-Nov. 2 2013
  • Firstpage
    439
  • Lastpage
    441
  • Abstract
    The flexible material is often used for a caudal fin in a robot fish. In that case, the rigid body modeling of the caudal fin is not appropriate for simulating the turbulent flow field around the robot fish. In the present study, FSI (Fluid Structure Interaction) method is applied to the simulation of fish swimming considering the flexibility of caudal fin. Computational fluid dynamics (CFD) is carried out with computational structural mechanics for investigating the swimming characteristics of biomimetic robot fish. For CFD simulation, unsteady Reynolds-averaged Navier-Stokes (URANS) formulation is applied to the complex turbulent flow fields generated by the movement of the robot fish. For finite element analysis (FEA) simulation, the governing equations for structural mechanics are solved. In the present study, the flexibility of the caudal fin is focused and its contribution to the turbulent wakes is investigated.
  • Keywords
    Navier-Stokes equations; biomimetics; computational fluid dynamics; finite element analysis; flexible structures; flow instability; flow simulation; mobile robots; robot dynamics; turbulence; wakes; CFD simulation; FEA simulation; FSI; URANS formulation; biomimetic robot fish; caudal fin flexibility; complex turbulent flow fields; computational fluid dynamics; computational structural mechanics; finite element analysis; fluid structure interaction; swimming fish simulation; turbulent wakes; unsteady Reynolds-averaged Navier-Stokes; CFD; FEA; FSI; Robot fish;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Robots and Ambient Intelligence (URAI), 2013 10th International Conference on
  • Conference_Location
    Jeju
  • Print_ISBN
    978-1-4799-1195-0
  • Type

    conf

  • DOI
    10.1109/URAI.2013.6677305
  • Filename
    6677305