Wing inertia influences the phase and amplitude relationships between thorax deformation and flapping angle in bumblebees

Flying insects have a robust flight system that allows them to fly even when their forewings are damaged. The
insect must adjust wingbeat kinematics to aerodynamically compensate for the loss of wing area. However, the
mechanisms that allow insects with asynchronous flight muscle to adapt to wing damage are not well understood.
Here, we investigated the phase and amplitude relationships between thorax deformation and flapping angle in
tethered flying bumblebees subject to wing clipping and weighting. We used synchronized laser vibrometry and
high-speed videography to measure thorax deformation and flapping angle, respectively. We found that changes
in wing inertia did not affect thorax deformation amplitude but did influence wingbeat frequency. Increasing
wing inertia increased flapping amplitude and caused a phase lag between thorax deformation and flapping
angle, whereas decreasing wing inertia did not affect flapping amplitude and caused the flapping angle to lead
thorax deformation. Based on our findings, we proposed a qualitative model of the insect flight system. This
model suggests insects leverage a wing hinge-dominated vibration mode to fly, and highlights the possibility of a
disproportionate damping between the wing hinge and thorax when the insect's wings are clipped. The results
of our study provide insights into the robust design of insect-inspired flapping wing micro air vehicles.

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Publication Details

Journal
Bioinspiration & Biomimetics
Published
2024-12-19
DOI
https://doi.org/10.1088/1748-3190/ada1ba
Citations
4
Primary Topic
Physiological and biochemical adaptations
Type
article
Field-Weighted Citation Impact
1.84

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article

Wing inertia influences the phase and amplitude relationships between thorax deformation and flapping angle in bumblebees

Cailin Casey, Mark Jankauski, Braden Cote
4 citations
Bioinspiration & Biomimetics
Physiological and biochemical adaptations
1.84
article

Wing inertia influences the phase and amplitude relationships between thorax deformation and flapping angle in bumblebees

Cailin Casey, Mark Jankauski, Braden Cote
article en
4 citations

Abstract

Flying insects have a robust flight system that allows them to fly even when their forewings are damaged. The
insect must adjust wingbeat kinematics to aerodynamically compensate for the loss of wing area. However, the
mechanisms that allow insects with asynchronous flight muscle to adapt to wing damage are not well understood.
Here, we investigated the phase and amplitude relationships between thorax deformation and flapping angle in
tethered flying bumblebees subject to wing clipping and weighting. We used synchronized laser vibrometry and
high-speed videography to measure thorax deformation and flapping angle, respectively. We found that changes
in wing inertia did not affect thorax deformation amplitude but did influence wingbeat frequency. Increasing
wing inertia increased flapping amplitude and caused a phase lag between thorax deformation and flapping
angle, whereas decreasing wing inertia did not affect flapping amplitude and caused the flapping angle to lead
thorax deformation. Based on our findings, we proposed a qualitative model of the insect flight system. This
model suggests insects leverage a wing hinge-dominated vibration mode to fly, and highlights the possibility of a
disproportionate damping between the wing hinge and thorax when the insect's wings are clipped. The results
of our study provide insights into the robust design of insect-inspired flapping wing micro air vehicles.

Bioinspiration & BiomimeticsVol. 20(1)
Montana State University (US)
National Science Foundation, Division of Civil, Mechanical and Manufacturing Innovation
Openalex Percentile: Top 14%
Physiological and biochemical adaptations
1.84
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Wing inertia influences the phase and amplitude relationships between thorax deformation and flapping angle in bumblebees — Cailin Casey, Mark Jankauski, et al. · Bioinspiration & Biomimetics (2024) | TGRS Research Map | TGRS