Comparison of Real and Idealized Cetacean Flippers

Abstract

When a phenomenon in nature is mimicked for practical applications, it is often done so in an idealized fashion, such as representing the shape found in nature with convenient, piece-wise smooth mathematical functions. The aim of idealization is to capture the advantageous features of the natural phenomenon without having to exactly replicate it, and it is often assumed that the idealization process does in fact capture the relevant geometry. We explored the consequences of the idealization process by creating exact scale models of cetacean flippers using CT scans, creating corresponding idealized versions and then determining the hydrodynamic characteristics of the models via water tunnel testing. We found that the majority of the idealized models did not exhibit fluid dynamic properties that were drastically different from those of the real models, although multiple consequences resulting from the idealization process were evident. Drag performance was significantly improved by idealization. Overall, idealization is an excellent way to capture the relevant effects of a phenomenon found in nature, which spares the researcher from having to painstakingly create exact models, although we have found that there are situations where idealization may have unintended consequences such as one model that exhibited a decrease in lift performance.

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Document Details

Document Type
Technical Report
Publication Date
Oct 16, 2009
Accession Number
ADA594184

Entities

People

  • F. E. Fish
  • L. E. Howle
  • M. M. Murray
  • P. W. Weber

Tags

Communities of Interest

  • Biomedical
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Animals
  • Boundary Layer
  • Cetaceans
  • Computational Fluid Dynamics
  • Control Surfaces
  • Fluid Dynamics
  • Fluid Flow
  • Fluid Mechanics
  • Hydrodynamics
  • Marine Mammals
  • Mechanical Engineering
  • Physics Laboratories
  • Three Dimensional
  • United States Naval Academy
  • Water Tunnels
  • Whales
  • X-Ray Computed Tomography

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computational Fluid Dynamics (CFD)
  • Systems Analysis and Design