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Investigation of models to estimate flight performance of gliding birds from wakes

Investigation of models to estimate flight performance of gliding birds from wakes
Investigation of models to estimate flight performance of gliding birds from wakes

Mathematical models based on inviscid flow theory are effective at predicting the aerodynamic forces on large-scale aircraft. Avian flight, however, is characterized by smaller sizes, slower speeds, and increased influence of viscous effects associated with lower Reynolds numbers. Therefore, inviscid mathematical models of avian flight should be used with caution. The assumptions used in such models, such as thin wings and streamlined bodies, may be violated by birds, potentially introducing additional error. To investigate the applicability of the existing models to calculate the aerodynamic performance of bird flight, we compared predictions using simulated wakes with those calculated directly from forces on the bird surface, both derived from computational fluid dynamics of a high-fidelity barn owl geometry in free gliding flight. Two lift models and two drag models are assessed. We show that the generalized Kutta-Joukowski model, corrected by the streamwise velocity, can predict not only the lift but also span loading well. Drag was predicted best by a drag model based on the conservation of fluid momentum in a control volume. Finally, we estimated force production for three raptor species across nine gliding flights by applying the best lift model to wake flow fields measured with particle tracking velocimetry.

1070-6631
Song, Jialei
4c0b836e-1db5-4496-93de-5b50ed48a1a3
Chen, Changyao
3965adf3-c8dd-4fca-b47e-89b8ad48b572
Cheney, Jorn A.
3cf74c48-4eba-4622-9f29-518653d79d93
Usherwood, James R.
6fe1d216-042c-4da0-82d7-207282ed1e00
Bomphrey, Richard J.
dff9b5b5-a316-4958-a642-60e756b56eba
Song, Jialei
4c0b836e-1db5-4496-93de-5b50ed48a1a3
Chen, Changyao
3965adf3-c8dd-4fca-b47e-89b8ad48b572
Cheney, Jorn A.
3cf74c48-4eba-4622-9f29-518653d79d93
Usherwood, James R.
6fe1d216-042c-4da0-82d7-207282ed1e00
Bomphrey, Richard J.
dff9b5b5-a316-4958-a642-60e756b56eba

Song, Jialei, Chen, Changyao, Cheney, Jorn A., Usherwood, James R. and Bomphrey, Richard J. (2024) Investigation of models to estimate flight performance of gliding birds from wakes. Physics of Fluids, 36 (9), [091912]. (doi:10.1063/5.0226182).

Record type: Article

Abstract

Mathematical models based on inviscid flow theory are effective at predicting the aerodynamic forces on large-scale aircraft. Avian flight, however, is characterized by smaller sizes, slower speeds, and increased influence of viscous effects associated with lower Reynolds numbers. Therefore, inviscid mathematical models of avian flight should be used with caution. The assumptions used in such models, such as thin wings and streamlined bodies, may be violated by birds, potentially introducing additional error. To investigate the applicability of the existing models to calculate the aerodynamic performance of bird flight, we compared predictions using simulated wakes with those calculated directly from forces on the bird surface, both derived from computational fluid dynamics of a high-fidelity barn owl geometry in free gliding flight. Two lift models and two drag models are assessed. We show that the generalized Kutta-Joukowski model, corrected by the streamwise velocity, can predict not only the lift but also span loading well. Drag was predicted best by a drag model based on the conservation of fluid momentum in a control volume. Finally, we estimated force production for three raptor species across nine gliding flights by applying the best lift model to wake flow fields measured with particle tracking velocimetry.

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Song Cheney et al 2024 Investigation of models to estimate flight performance - Accepted Manuscript
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Accepted/In Press date: 24 August 2024
Published date: 16 September 2024

Identifiers

Local EPrints ID: 496036
URI: http://eprints.soton.ac.uk/id/eprint/496036
ISSN: 1070-6631
PURE UUID: 6825bf74-21f2-49aa-b828-9960ea1d5d3b
ORCID for Jorn A. Cheney: ORCID iD orcid.org/0000-0002-9952-2612

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Date deposited: 02 Dec 2024 17:32
Last modified: 03 Dec 2024 03:05

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Contributors

Author: Jialei Song
Author: Changyao Chen
Author: Jorn A. Cheney ORCID iD
Author: James R. Usherwood
Author: Richard J. Bomphrey

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