Integrated Study of Flight Stabilization with Flapping Wings in Canonical Urban Flows

Abstract

An integrated numerical-experimental methodology is used to investigate the aerodynamics and coupled flight dynamics of insects in free fight. The experimental component, which involves quantitative, high-speed videogrammetry of insects in free flight along with measurements of the mass properties of the insect body and wings, provides data for the parameterization as well as the validation of the computational models. The computational component of the research is centered primarily on high-fidelity Navier-Stokes (NS) modeling, which is based on a sharp interface immersed boundary method. The first part of the study involves the development and validation of a high-fidelity Navier-Stokes model of a hovering hawkmoth. The simulations are used for a comparative study of the hovering efficiency of flapping and revolving wings. The second phase of the study focuses on the stability of insect and insect-inspired flight. Stability analysis as well as fully coupled aero-flight dynamics modeling is used to gain insights into the stability properties of hovering insects. Combining this with experimental observations leads to a bioinspired strategy for flight stabilization, which is then tested via the computational modeling approach.

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Document Details

Document Type
Technical Report
Publication Date
Jun 30, 2013
Accession Number
ADA588171

Entities

People

  • Rajat Mittal
  • Tyson Hendrick

Organizations

  • Johns Hopkins University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Aerodynamic Forces
  • Aerodynamics
  • Aircrafts
  • Computational Fluid Dynamics
  • Computational Modeling
  • Flight
  • Flight Maneuvers
  • Fluid Dynamics
  • Fluid Mechanics
  • Hovering
  • Lepidoptera
  • Mechanical Engineering
  • Micro Air Vehicles
  • Reynolds Number
  • Simulations
  • Three Dimensional
  • Turbulent Mixing

Fields of Study

  • Physics

Readers

  • Aerodynamics/Aeronautics.
  • Computational Fluid Dynamics (CFD)
  • Robotics and Automation.

Technology Areas

  • Biotechnology