Virtual manipulation of tail postures of a gliding barn owl ( Tyto alba ) demonstrates drag minimization when gliding
Virtual manipulation of tail postures of a gliding barn owl ( Tyto alba ) demonstrates drag minimization when gliding
Aerodynamic functions of the avian tail have been studied previously using observations of bird flight, physical models in wind tunnels, theoretical modelling and flow visualization. However, none of these approaches has provided rigorous, quantitative evidence concerning tail functions because (i) appropriate manipulation and controls cannot be achieved using live animals and (ii) the aerodynamic interplay between the wings and body challenges reductive theoretical or physical modelling approaches. Here, we have developed a comprehensive analytical drag model, calibrated by high-fidelity computational fluid dynamics (CFD), and used it to investigate the aerodynamic action of the tail by virtually manipulating its posture. The bird geometry used for CFD was reconstructed previously using stereo-photogrammetry of a freely gliding barn owl (Tyto alba) and we validated the CFD simulations against wake measurements. Using this CFD-calibrated drag model, we predicted the drag production for 16 gliding flights with a range of tail postures. These observed postures are set in the context of a wider parameter sweep of theoretical postures, where the tail spread and elevation angles were manipulated independently. The observed postures of our gliding bird corresponded to near minimal total drag.
bird flight, drag reduction, efficiency, tail function
Song, Jialei
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Cheney, Jorn A.
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Bomphrey, Richard J.
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Usherwood, James R.
6fe1d216-042c-4da0-82d7-207282ed1e00
9 February 2022
Song, Jialei
4c0b836e-1db5-4496-93de-5b50ed48a1a3
Cheney, Jorn A.
3cf74c48-4eba-4622-9f29-518653d79d93
Bomphrey, Richard J.
dff9b5b5-a316-4958-a642-60e756b56eba
Usherwood, James R.
6fe1d216-042c-4da0-82d7-207282ed1e00
Song, Jialei, Cheney, Jorn A., Bomphrey, Richard J. and Usherwood, James R.
(2022)
Virtual manipulation of tail postures of a gliding barn owl ( Tyto alba ) demonstrates drag minimization when gliding.
Journal of the Royal Society Interface, 19 (187), [20210710].
(doi:10.1098/rsif.2021.0710).
Abstract
Aerodynamic functions of the avian tail have been studied previously using observations of bird flight, physical models in wind tunnels, theoretical modelling and flow visualization. However, none of these approaches has provided rigorous, quantitative evidence concerning tail functions because (i) appropriate manipulation and controls cannot be achieved using live animals and (ii) the aerodynamic interplay between the wings and body challenges reductive theoretical or physical modelling approaches. Here, we have developed a comprehensive analytical drag model, calibrated by high-fidelity computational fluid dynamics (CFD), and used it to investigate the aerodynamic action of the tail by virtually manipulating its posture. The bird geometry used for CFD was reconstructed previously using stereo-photogrammetry of a freely gliding barn owl (Tyto alba) and we validated the CFD simulations against wake measurements. Using this CFD-calibrated drag model, we predicted the drag production for 16 gliding flights with a range of tail postures. These observed postures are set in the context of a wider parameter sweep of theoretical postures, where the tail spread and elevation angles were manipulated independently. The observed postures of our gliding bird corresponded to near minimal total drag.
Text
rsif.2021.0710
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More information
Accepted/In Press date: 10 January 2022
Published date: 9 February 2022
Additional Information:
Funding Information:
The work was funded by the AFOSR European Office for Aerospace Research and Development (FA9550-16-1-0034 to R.J.B. and J.R.U.), the Wellcome Trust (Fellowship 202854/Z/16/Z to J.R.U.), the start-up grant of DGUT (211135014), Basic and Applied Basic Research Fund of Guangdong Province (2020A1515110584 to J.S.), Key Laboratory of Robotics and Intelligent Equipment of Guangdong Regular Institutions of Higher Education (2017KSYS009 to J.S.) and the Innovation Center of Robotics And Intelligent Equipment (KCYCXPT2017006 to J.S.). Acknowledgements
Publisher Copyright:
© 2022 The Authors.
Keywords:
bird flight, drag reduction, efficiency, tail function
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Local EPrints ID: 470620
URI: http://eprints.soton.ac.uk/id/eprint/470620
ISSN: 1742-5689
PURE UUID: 0eeece66-8db9-446c-bae9-184b25ca4a37
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Date deposited: 14 Oct 2022 16:47
Last modified: 17 Mar 2024 04:16
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Contributors
Author:
Jialei Song
Author:
Jorn A. Cheney
Author:
Richard J. Bomphrey
Author:
James R. Usherwood
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