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Related Experiment Video

Updated: Sep 23, 2025

Flapping Soft Fin Deformation Modeling using Planar Laser-Induced Fluorescence Imaging
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Flapping Soft Fin Deformation Modeling using Planar Laser-Induced Fluorescence Imaging

Published on: April 28, 2022

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Flapping Soft Fin Deformation Modeling using Planar Laser-Induced Fluorescence Imaging.

Kaushik Sampath1, Nicole Xu2, Jason Geder3

  • 1KS Research Inc.

Journal of Visualized Experiments : Jove
|May 16, 2022
PubMed
Summary
This summary is machine-generated.

Researchers developed a new method using planar laser-induced fluorescence (PLIF) to accurately measure the 3D shape changes of flexible underwater flapping fins. This technique enhances understanding of bio-inspired propulsion systems for unmanned vehicles.

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Area of Science:

  • Robotics and Mechanical Engineering
  • Biomimetics and Bio-inspired Design
  • Fluid Dynamics and Hydrodynamics

Background:

  • Fish fin propulsion offers advantages in maneuverability and stealth for unmanned vehicles.
  • Soft materials enhance thrust and efficiency in bio-inspired fins but require accurate deformation analysis.
  • Understanding flexible membrane dynamics is crucial for optimizing underwater propulsion systems.

Purpose of the Study:

  • To present a novel workflow for characterizing time-dependent shape deformation of flexible underwater flapping fins.
  • To enable high-fidelity validation of fluid-structure interaction simulations for bio-inspired propulsion.
  • To improve the understanding of complex propulsion system performance through accurate shape reconstruction.

Main Methods:

  • Fabrication of polydimethylsiloxane fin membranes with varying stiffnesses (0.38 MPa and 0.82 MPa).
  • Actuation of fins with two degrees of freedom (pitch and roll).
  • Acquisition and processing of planar laser-induced fluorescence (PLIF) images across spanwise planes to reconstruct 3D shapes.

Main Results:

  • Successful characterization of time-varying 3D deformed fin shapes using PLIF.
  • Quantification of fin membrane deformations for different stiffnesses and actuation modes.
  • Generation of high-fidelity data for validating computational fluid dynamics (CFD) and fluid-structure interaction (FSI) models.

Conclusions:

  • The developed PLIF workflow accurately captures complex fin deformations.
  • This method provides essential data for improving the design and performance of bio-inspired underwater propulsion.
  • Enhanced simulation accuracy will accelerate the development of advanced unmanned vehicle systems.