IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-41170-4.html
   My bibliography  Save this article

Cold-programmed shape-morphing structures based on grayscale digital light processing 4D printing

Author

Listed:
  • Liang Yue

    (Georgia Institute of Technology)

  • Xiaohao Sun

    (Georgia Institute of Technology)

  • Luxia Yu

    (Georgia Institute of Technology)

  • Mingzhe Li

    (Georgia Institute of Technology)

  • S. Macrae Montgomery

    (Georgia Institute of Technology)

  • Yuyang Song

    (Toyota Motor North America)

  • Tsuyoshi Nomura

    (Toyota Central R&D Laboratories, Inc., Bunkyo-ku)

  • Masato Tanaka

    (Toyota Motor North America)

  • H. Jerry Qi

    (Georgia Institute of Technology)

Abstract

Shape-morphing structures that can reconfigure their shape to adapt to diverse tasks are highly desirable for intelligent machines in many interdisciplinary fields. Shape memory polymers are one of the most widely used stimuli-responsive materials, especially in 3D/4D printing, for fabricating shape-morphing systems. They typically go through a hot-programming step to obtain the shape-morphing capability, which possesses limited freedom of reconfigurability. Cold-programming, which directly deforms the structure into a temporary shape without increasing the temperature, is simple and more versatile but has stringent requirements on material properties. Here, we introduce grayscale digital light processing (g-DLP) based 3D printing as a simple and effective platform for fabricating shape-morphing structures with cold-programming capabilities. With the multimaterial-like printing capability of g-DLP, we develop heterogeneous hinge modules that can be cold-programmed by simply stretching at room temperature. Different configurations can be encoded during 3D printing with the variable distribution and direction of the modular-designed hinges. The hinge module allows controllable independent morphing enabled by cold programming. By leveraging the multimaterial-like printing capability, multi-shape morphing structures are presented. The g-DLP printing with cold-programming morphing strategy demonstrates enormous potential in the design and fabrication of shape-morphing structures.

Suggested Citation

  • Liang Yue & Xiaohao Sun & Luxia Yu & Mingzhe Li & S. Macrae Montgomery & Yuyang Song & Tsuyoshi Nomura & Masato Tanaka & H. Jerry Qi, 2023. "Cold-programmed shape-morphing structures based on grayscale digital light processing 4D printing," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-41170-4
    DOI: 10.1038/s41467-023-41170-4
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-41170-4
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-023-41170-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Yue Zhang & Kangkang Liu & Tao Liu & Chujun Ni & Di Chen & Jiamei Guo & Chang Liu & Jian Zhou & Zheng Jia & Qian Zhao & Pengju Pan & Tao Xie, 2021. "Differential diffusion driven far-from-equilibrium shape-shifting of hydrogels," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    2. Yue Dong & Jie Wang & Xukui Guo & Shanshan Yang & Mehmet Ozgun Ozen & Peng Chen & Xin Liu & Wei Du & Fei Xiao & Utkan Demirci & Bi-Feng Liu, 2019. "Multi-stimuli-responsive programmable biomimetic actuator," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    3. Zizheng Fang & Yunpeng Shi & Hongfeng Mu & Runzhi Lu & Jingjun Wu & Tao Xie, 2023. "3D printing of dynamic covalent polymer network with on-demand geometric and mechanical reprogrammability," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    4. Liang Yue & S. Macrae Montgomery & Xiaohao Sun & Luxia Yu & Yuyang Song & Tsuyoshi Nomura & Masato Tanaka & H. Jerry Qi, 2023. "Single-vat single-cure grayscale digital light processing 3D printing of materials with large property difference and high stretchability," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kyle C. H. Chin & Grant Ovsepyan & Andrew J. Boydston, 2024. "Multi-color dual wavelength vat photopolymerization 3D printing via spatially controlled acidity," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    2. Yaoye Hong & Yao Zhao & Joseph Berman & Yinding Chi & Yanbin Li & He (Helen) Huang & Jie Yin, 2023. "Angle-programmed tendril-like trajectories enable a multifunctional gripper with ultradelicacy, ultrastrength, and ultraprecision," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    3. Kexin Guo & Xuehan Yang & Chao Zhou & Chuang Li, 2024. "Self-regulated reversal deformation and locomotion of structurally homogenous hydrogels subjected to constant light illumination," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    4. Chujun Ni & Di Chen & Xin Wen & Binjie Jin & Yi He & Tao Xie & Qian Zhao, 2023. "High speed underwater hydrogel robots with programmable motions powered by light," Nature Communications, Nature, vol. 14(1), pages 1-9, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-41170-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.