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Near-body flow dynamics in swimming fish

Wolfgang1, Anderson, Grosenbaugh

  • 1Department of Ocean Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA and Department of Applied Ocean Physics and Engineering, Woods Hole Oceanographic Institution, Woods Hole, MA 02543, USA. mistetri@mit.edu.

The Journal of Experimental Biology
|August 10, 1999
PubMed
Summary

Giant danio fish use their body shape and tail fin to efficiently generate thrust and maneuver. They manipulate water flow and create vortices for effective propulsion with minimal energy waste.

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Area of Science:

  • * Biomechanics
  • * Fluid Dynamics
  • * Ichthyology

Background:

  • * Understanding fish locomotion is key to biomimetic design.
  • * The giant danio (Danio malabaricus) is studied for its efficient swimming.
  • * Propulsion mechanisms in fish involve complex fluid-body interactions.

Purpose of the Study:

  • * To investigate the flow patterns and motions during giant danio swimming.
  • * To compare experimental data with numerical simulations of fish propulsion.
  • * To elucidate the role of fish morphology in efficient thrust generation.

Main Methods:

  • * Experimental flow visualization to capture 2D velocity fields.
  • * Three-dimensional numerical simulations for total velocity field prediction.

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  • * Analysis of fish morphology, including the peduncle region and tail articulation.

    • Main Results:

    • * Good agreement between experimental and numerical velocity and vorticity fields.
    • * Fish morphology facilitates smooth flow and thrust generation via the articulated tail.
    • * Efficient flow actuation by the tail, generating controlled vorticity for propulsion and maneuvering.

    Conclusions:

    • * Giant danios utilize body-bound vorticity and caudal fin interaction for efficient propulsion.
    • * Streamlined near-body flow and controlled vortex shedding enhance swimming efficiency.
    • * The interplay between body-generated and fin-generated vorticity is crucial for fish maneuverability.