• DocumentCode
    3292387
  • Title

    Computational simulation of a submersible unmanned aerial vehicle impacting with water

  • Author

    Xingbang Yang ; Jianhong Liang ; Tianmiao Wang ; Guocai Yao ; Wendi Zhao ; Yucheng Zhang ; Chenhao Han

  • Author_Institution
    Robot. Inst., Beihang Univ., Beijing, China
  • fYear
    2013
  • fDate
    12-14 Dec. 2013
  • Firstpage
    1138
  • Lastpage
    1143
  • Abstract
    A submersible unmanned aerial vehicle (UAV) is proposed firstly, which is capable of operating in both air and water. One of the outstanding characteristics of the UAV is that the air-water transition imitates that of a gannet, i.e., plunge-diving. In this paper, the plunge-diving process of this UAV is simplified as a water-entry problem with a certain initial velocity, and the impact force is calculated by the method of the computational fluid dynamics (CFD). The Volume of Fluid is coupled with the 3-D Navier-Stokes equations to establish the model of the flow field, and the equations are solved in Fluent 6.3. The phase distribution and the pressure distribution during water-entry are presented and analyzed. Furthermore, the effects of the dropping height and the wing´s sweptback angle on the impact force are investigated and discussed.
  • Keywords
    Navier-Stokes equations; aerospace components; autonomous aerial vehicles; autonomous underwater vehicles; computational fluid dynamics; impact (mechanical); 3D Navier-Stokes equations; CFD; Fluent 6.3; UAV; air-water transition; computational fluid dynamics; computational simulation; dropping height; gannet; impact force calculation; phase distribution; plunge-diving process; pressure distribution; submersible unmanned aerial vehicle; water-entry problem; wing sweptback angle; Atmospheric modeling; Computational modeling; Equations; Force; Mathematical model; Robots; Underwater vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2013 IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/ROBIO.2013.6739617
  • Filename
    6739617