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Rock-Climbing Fish Inspired Skeleton-Embedded Rigid-Flexible Coupling Suction Disc Design for Adhesion Enhancement

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Intelligent Robotics and Applications (ICIRA 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14269))

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Abstract

Underwater high-performance biological adhesion systems have attracted increasing research interest to inspire engineered adhesion systems. Switchable underwater adhesion systems typically employ suction adhesion. However, achieving low pre-pressure negative pressure adhesion is still a challenge. An inspiring nature mode is provided by the rock-climbing fish, which needs little preload and can resist a pull-off force of 1000 times its own body weight. The pectoral and abdominal fins of rock-climbing fish have evolved to almost a flat suction cup. Through micro CT, we found that a unique skeletal network is embedded in the suction cup. This unique structure increases the stiffness of the suction cup and enhances its adhesion performance. Through numerical simulation, it was revealed that this rigid, flexible coupling structure enhances the ability of the suction cup to resist lateral pressure and increases the energy dissipation of the edge detachment of the suction cup. This work can shed light on the design of novel underwater adhesion systems and inspire underwater adhesion crawling robots.

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Funding

This work was supported by National Key R&D Program of China [2020YFB1313100]; National Natural Science Foundation of China [62003338]; National Natural Science Foundation of China [61925307]; National Defense Science and Technology Innovation Key deployment project of Chinese Academy of Sciences [JCPYJJ-22020]; Youth Innovation Promotion Association, Chinese Academy of Science [2023210].

Author information

Authors and Affiliations

  1. State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China

    Wenjun Tan, Hengshen Qin, Chuang Zhang, Ruiqian Wang, Yiwei Zhang, Lianchao Yang & Lianqing Liu

  2. Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, 110169, China

    Wenjun Tan, Hengshen Qin, Chuang Zhang, Ruiqian Wang, Yiwei Zhang, Lianchao Yang & Lianqing Liu

  3. University of Chinese Academy of Sciences, Beijing, 100049, China

    Wenjun Tan, Hengshen Qin, Ruiqian Wang, Yiwei Zhang & Lianchao Yang

  4. Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610042, Sichuan, China

    Qin Chen

  5. Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, 999077, China

    Feifei Wang

  6. Emerging Technologies Institute, Department of Industrial and Manufacturing Systems Engineering, University of Hong Kong, Pokfulam, Hong Kong, 999077, China

    Ning Xi

Authors
  1. Wenjun Tan
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  2. Hengshen Qin
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  3. Chuang Zhang
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  4. Ruiqian Wang
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  5. Yiwei Zhang
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  6. Lianchao Yang
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  7. Qin Chen
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  8. Feifei Wang
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  9. Ning Xi
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  10. Lianqing Liu
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Corresponding author

Correspondence to Chuang Zhang .

Editor information

Editors and Affiliations

  1. Zhejiang University, Hangzhou, China

    Huayong Yang

  2. Harbin Institute of Technology, Shenzhen, China

    Honghai Liu

  3. Zhejiang University, Hangzhou, China

    Jun Zou

  4. Huazhong University of Science and Technology, Wuhan, China

    Zhouping Yin

  5. Shenyang Institute of Automation, Shenyang, Liaoning, China

    Lianqing Liu

  6. Zhejiang University, Hangzhou, China

    Geng Yang

  7. Zhejiang University, Hangzhou, China

    Xiaoping Ouyang

  8. Harbin Institute of Technology, Shenzhen, China

    Zhiyong Wang

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Tan, W. et al. (2023). Rock-Climbing Fish Inspired Skeleton-Embedded Rigid-Flexible Coupling Suction Disc Design for Adhesion Enhancement. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14269. Springer, Singapore. https://doi.org/10.1007/978-981-99-6489-5_17

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  • DOI: https://doi.org/10.1007/978-981-99-6489-5_17

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-6488-8

  • Online ISBN: 978-981-99-6489-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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