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Digital mapping of surface turbulence status and aerodynamic stall on wings of a flying aircraft

Author

Listed:
  • Zijie Xu

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Leo N. Y. Cao

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Chengyu Li

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Yingjin Luo

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Erming Su

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Weizhe Wang

    (University of Chinese Academy of Sciences)

  • Wei Tang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Zhaohui Yao

    (University of Chinese Academy of Sciences)

  • Zhong Lin Wang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences
    Georgia Institute of Technology)

Abstract

Real-time monitoring of flow turbulence is very difficult but extremely important in fluid dynamics, which plays an important role in flight safety and control. Turbulence can cause airflow to detach at the end of the wings, potentially resulting in the aerodynamic stall of aircraft and causing flight accidents. Here, we developed a lightweight and conformable system on the wing surface of aircraft for stall sensing. Quantitative data about airflow turbulence and the degree of boundary layer separation are provided in situ using conjunct signals provided by both triboelectric and piezoelectric effects. Thus, the system can visualize and directly measure the airflow detaching process on the airfoil, and senses the degree of airflow separation during and after a stall for large aircraft and unmanned aerial vehicles.

Suggested Citation

  • Zijie Xu & Leo N. Y. Cao & Chengyu Li & Yingjin Luo & Erming Su & Weizhe Wang & Wei Tang & Zhaohui Yao & Zhong Lin Wang, 2023. "Digital mapping of surface turbulence status and aerodynamic stall on wings of a flying aircraft," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38486-6
    DOI: 10.1038/s41467-023-38486-6
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    References listed on IDEAS

    as
    1. Lukas Bentkamp & Theodore D. Drivas & Cristian C. Lalescu & Michael Wilczek, 2022. "The statistical geometry of material loops in turbulence," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
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    Cited by:

    1. Xu, Shuxing & Zhang, Jiabin & Su, Erming & Li, Chengyu & Tang, Wei & Liu, Guanlin & Cao, Leo N.Y. & Wang, Zhong Lin, 2024. "Dynamic behavior and energy flow of floating triboelectric nanogenerators," Applied Energy, Elsevier, vol. 367(C).
    2. Qian Li & Ting Tan & Benlong Wang & Zhimiao Yan, 2024. "Avian-inspired embodied perception in biohybrid flapping-wing robotics," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    3. Esther Lagemann & Steven L. Brunton & Wolfgang Schröder & Christian Lagemann, 2024. "Towards extending the aircraft flight envelope by mitigating transonic airfoil buffet," Nature Communications, Nature, vol. 15(1), pages 1-15, December.

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