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Dimensional analysis of spring-wing systems reveals performance metrics for resonant flapping-wing flight

Flapping-wing insects, birds and robots are thought to offset the high power cost of oscillatory wing motion by using elastic elements for energy storage and return. Insects possess highly resilient elastic regions in their flight anatomy that may enable high dynamic efficiency. However, recent expe...

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Detalles Bibliográficos
Autores principales: Lynch, James, Gau, Jeff, Sponberg, Simon, Gravish, Nick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086844/
https://www.ncbi.nlm.nih.gov/pubmed/33593213
http://dx.doi.org/10.1098/rsif.2020.0888
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author Lynch, James
Gau, Jeff
Sponberg, Simon
Gravish, Nick
author_facet Lynch, James
Gau, Jeff
Sponberg, Simon
Gravish, Nick
author_sort Lynch, James
collection PubMed
description Flapping-wing insects, birds and robots are thought to offset the high power cost of oscillatory wing motion by using elastic elements for energy storage and return. Insects possess highly resilient elastic regions in their flight anatomy that may enable high dynamic efficiency. However, recent experiments highlight losses due to damping in the insect thorax that could reduce the benefit of those elastic elements. We performed experiments on, and simulations of, a dynamically scaled robophysical flapping model with an elastic element and biologically relevant structural damping to elucidate the roles of body mechanics, aerodynamics and actuation in spring-wing energetics. We measured oscillatory flapping-wing dynamics and energetics subject to a range of actuation parameters, system inertia and spring elasticity. To generalize these results, we derive the non-dimensional spring-wing equation of motion and present variables that describe the resonance properties of flapping systems: N, a measure of the relative influence of inertia and aerodynamics, and [Formula: see text] , the reduced stiffness. We show that internal damping scales with N, revealing that dynamic efficiency monotonically decreases with increasing N. Based on these results, we introduce a general framework for understanding the roles of internal damping, aerodynamic and inertial forces, and elastic structures within all spring-wing systems.
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spelling pubmed-80868442022-02-17 Dimensional analysis of spring-wing systems reveals performance metrics for resonant flapping-wing flight Lynch, James Gau, Jeff Sponberg, Simon Gravish, Nick J R Soc Interface Life Sciences–Engineering interface Flapping-wing insects, birds and robots are thought to offset the high power cost of oscillatory wing motion by using elastic elements for energy storage and return. Insects possess highly resilient elastic regions in their flight anatomy that may enable high dynamic efficiency. However, recent experiments highlight losses due to damping in the insect thorax that could reduce the benefit of those elastic elements. We performed experiments on, and simulations of, a dynamically scaled robophysical flapping model with an elastic element and biologically relevant structural damping to elucidate the roles of body mechanics, aerodynamics and actuation in spring-wing energetics. We measured oscillatory flapping-wing dynamics and energetics subject to a range of actuation parameters, system inertia and spring elasticity. To generalize these results, we derive the non-dimensional spring-wing equation of motion and present variables that describe the resonance properties of flapping systems: N, a measure of the relative influence of inertia and aerodynamics, and [Formula: see text] , the reduced stiffness. We show that internal damping scales with N, revealing that dynamic efficiency monotonically decreases with increasing N. Based on these results, we introduce a general framework for understanding the roles of internal damping, aerodynamic and inertial forces, and elastic structures within all spring-wing systems. The Royal Society 2021-02-17 /pmc/articles/PMC8086844/ /pubmed/33593213 http://dx.doi.org/10.1098/rsif.2020.0888 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Life Sciences–Engineering interface
Lynch, James
Gau, Jeff
Sponberg, Simon
Gravish, Nick
Dimensional analysis of spring-wing systems reveals performance metrics for resonant flapping-wing flight
title Dimensional analysis of spring-wing systems reveals performance metrics for resonant flapping-wing flight
title_full Dimensional analysis of spring-wing systems reveals performance metrics for resonant flapping-wing flight
title_fullStr Dimensional analysis of spring-wing systems reveals performance metrics for resonant flapping-wing flight
title_full_unstemmed Dimensional analysis of spring-wing systems reveals performance metrics for resonant flapping-wing flight
title_short Dimensional analysis of spring-wing systems reveals performance metrics for resonant flapping-wing flight
title_sort dimensional analysis of spring-wing systems reveals performance metrics for resonant flapping-wing flight
topic Life Sciences–Engineering interface
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086844/
https://www.ncbi.nlm.nih.gov/pubmed/33593213
http://dx.doi.org/10.1098/rsif.2020.0888
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