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Nacre-mimetic composite with intrinsic self-healing and shape-programming capability

Author

Listed:
  • Gaolai Du

    (Zhejiang University)

  • Anran Mao

    (Zhejiang University)

  • Jinhong Yu

    (Zhejiang University)

  • Jingjing Hou

    (Zhejiang University)

  • Nifang Zhao

    (Zhejiang University)

  • Jingkai Han

    (Zhejiang University)

  • Qian Zhao

    (Zhejiang University)

  • Weiwei Gao

    (Zhejiang University)

  • Tao Xie

    (Zhejiang University)

  • Hao Bai

    (Zhejiang University)

Abstract

Replicating nacre’s multiscale architecture represents a promising approach to design artificial materials with outstanding rigidity and toughness. It is highly desirable yet challenging to incorporate self-healing and shape-programming capabilities into nacre-mimetic composites due to their rigidity and high filler content. Here, we report such a composite obtained by infiltrating a thermally switchable Diels-Alder network polymer into a lamellar scaffold of alumina. The chemical bond switchability and the physical confinement by the filler endows the composite with sufficient molecular mobility without compromising its thermal dimension stability. Consequently, our composite is capable of self-healing internal damages. Additionally, in contrast to the intractable planar shape of other artificial nacres, precise control of the polymer chain dynamics allows the shape of our composite to be programmed permanently via plasticity and temporarily via shape memory effect. Our approach paves a new way for designing durable multifunctional bioinspired structural materials.

Suggested Citation

  • Gaolai Du & Anran Mao & Jinhong Yu & Jingjing Hou & Nifang Zhao & Jingkai Han & Qian Zhao & Weiwei Gao & Tao Xie & Hao Bai, 2019. "Nacre-mimetic composite with intrinsic self-healing and shape-programming capability," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-08643-x
    DOI: 10.1038/s41467-019-08643-x
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    Cited by:

    1. Guan, Dong & Pan, Biyu & Chen, Zhen & Li, Jing & Shen, Hui & Pang, Huan, 2023. "Quantitative modeling and bio-inspired optimization the clamping load on the bipolar plate in PEMFC," Energy, Elsevier, vol. 263(PD).

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