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Validation of an Adaptive Meshing Implementation of the Lattice-Boltzmann Method for Insect Flight

[+] Author Affiliations
Jeffrey Feaster, Francine Battaglia, Javid Bayandor

Virginia Tech, Blacksburg, VA

Ralf Deiterding

University of Southampton, Southhampton, UK

Paper No. FEDSM2016-7782, pp. V01AT12A007; 7 pages
doi:10.1115/FEDSM2016-7782
From:
  • ASME 2016 Fluids Engineering Division Summer Meeting collocated with the ASME 2016 Heat Transfer Summer Conference and the ASME 2016 14th International Conference on Nanochannels, Microchannels, and Minichannels
  • Volume 1A, Symposia: Turbomachinery Flow Simulation and Optimization; Applications in CFD; Bio-Inspired and Bio-Medical Fluid Mechanics; CFD Verification and Validation; Development and Applications of Immersed Boundary Methods; DNS, LES and Hybrid RANS/LES Methods; Fluid Machinery; Fluid-Structure Interaction and Flow-Induced Noise in Industrial Applications; Flow Applications in Aerospace; Active Fluid Dynamics and Flow Control — Theory, Experiments and Implementation
  • Washington, DC, USA, July 10–14, 2016
  • Conference Sponsors: Fluids Engineering Division
  • ISBN: 978-0-7918-5028-2
  • Copyright © 2016 by ASME

abstract

Insects, sustaining flight at low Reynolds numbers (500<Re<10,000), fly utilizing mechanically simple kinematics (3 degrees of freedom) at an extremely high flap frequency (150–200 Hz), resulting in a complicated vortical fluid field. These flight characteristics result in some of the most agile and maneuverable flight capabilities in the animal kingdom and are considered to be far superior to fixed wing flight, such as aircraft. Bees are of particular interest because of the utilization of humuli to attach their front and hind wings together during flight. A Cartesian-based adaptive meshing implementation of the Lattice-Boltzmann Method is utilized to resolve the complex flow field generated during insect flight and is verified against experimental and computational results present in the literature in two dimensions. The Lattice-Boltzmann Method was found to agree well in both qualitative and quantitative comparisons with both two-dimensional computational and three-dimensional experimental results.

Copyright © 2016 by ASME

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