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Origami-based tunable truss structures for non-volatile mechanical memory operation

Author

Listed:
  • Hiromi Yasuda

    (University of Washington)

  • Tomohiro Tachi

    (University of Tokyo)

  • Mia Lee

    (University of Washington)

  • Jinkyu Yang

    (University of Washington)

Abstract

Origami has recently received significant interest from the scientific community as a method for designing building blocks to construct metamaterials. However, the primary focus has been placed on their kinematic applications by leveraging the compactness and auxeticity of planar origami platforms. Here, we present volumetric origami cells—specifically triangulated cylindrical origami (TCO)—with tunable stability and stiffness, and demonstrate their feasibility as non-volatile mechanical memory storage devices. We show that a pair of TCO cells can develop a double-well potential to store bit information. What makes this origami-based approach more appealing is the realization of two-bit mechanical memory, in which two pairs of TCO cells are interconnected and one pair acts as a control for the other pair. By assembling TCO-based truss structures, we experimentally verify the tunable nature of the TCO units and demonstrate the operation of purely mechanical one- and two-bit memory storage prototypes.

Suggested Citation

  • Hiromi Yasuda & Tomohiro Tachi & Mia Lee & Jinkyu Yang, 2017. "Origami-based tunable truss structures for non-volatile mechanical memory operation," Nature Communications, Nature, vol. 8(1), pages 1-7, December.
    • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-00670-w
    DOI: 10.1038/s41467-017-00670-w
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    Cited by:

    1. Tie Mei & Zhiqiang Meng & Kejie Zhao & Chang Qing Chen, 2021. "A mechanical metamaterial with reprogrammable logical functions," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    2. Haitao Ye & Qingjiang Liu & Jianxiang Cheng & Honggeng Li & Bingcong Jian & Rong Wang & Zechu Sun & Yang Lu & Qi Ge, 2023. "Multimaterial 3D printed self-locking thick-panel origami metamaterials," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    3. Amin Jamalimehr & Morad Mirzajanzadeh & Abdolhamid Akbarzadeh & Damiano Pasini, 2022. "Rigidly flat-foldable class of lockable origami-inspired metamaterials with topological stiff states," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    4. Xinyu Hu & Ting Tan & Benlong Wang & Zhimiao Yan, 2023. "A reprogrammable mechanical metamaterial with origami functional-group transformation and ring reconfiguration," Nature Communications, Nature, vol. 14(1), pages 1-13, December.

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