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  5. Bioinspired twist-hyperbolic metamaterial for impact buffering and self-powered real-time sensing in UAVs

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Article
en
2025

Bioinspired twist-hyperbolic metamaterial for impact buffering and self-powered real-time sensing in UAVs

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en
2025
Vol 11 (36)
Vol. 11
DOI: 10.1126/sciadv.adw6179

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Zhong Lin Wang
Zhong Lin Wang

Beijing Institute of Technology

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Xujiang Chao
Haoteng Hu
Jen‐Lien Lin
+9 more

Abstract

Turbulence-induced vibrations pose substantial risks to aircraft structural integrity and flight stability, particularly in unmanned aerial vehicles (UAVs), where real-time impact monitoring and lightweight protection are critical. Here, we present a bioinspired twist-hyperbolic metamaterial (THM) integrated with a triboelectric nanogenerator (TENG) for simultaneously impact buffering and self-powered sensing. The THM-TENG protector exhibits tunable stiffness (40 to 4300 newtons per millimeter), ~70% impact energy absorption, and achieves a specific energy absorption of ~0.25 joules per gram at a weight of only 10 grams. Through triboelectrification, the protector converts mechanical energy into electrical signals, enabling real-time monitoring of impact loads up to 1000 newtons (≤5 hertz). Integrated with a microcontroller unit, wireless transmission, and alarm systems, THM-TENG demonstrates dual functionality in UAVs: mitigating vibration while providing real-time force monitoring, positioning, and early warning, all without external power sources. This work establishes a transformative framework for lightweight, multifunctional protective systems with applications in aerospace, robotics, and autonomous vehicles.

How to cite this publication

Xujiang Chao, Haoteng Hu, Jen‐Lien Lin, Xueyang Ge, Y. Wang, Lei Xie, Beichen Hu, Liang Meng, Shudong Yu, Fei Liang, Lehua Qi, Zhong Lin Wang (2025). Bioinspired twist-hyperbolic metamaterial for impact buffering and self-powered real-time sensing in UAVs. , 11(36), DOI: https://doi.org/10.1126/sciadv.adw6179.

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Publication Details

Type

Article

Year

2025

Authors

12

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1126/sciadv.adw6179

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