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Single-vat single-cure grayscale digital light processing 3D printing of materials with large property difference and high stretchability

Author

Listed:
  • Liang Yue

    (Georgia Institute of Technology)

  • S. Macrae Montgomery

    (Georgia Institute of Technology)

  • Xiaohao Sun

    (Georgia Institute of Technology)

  • Luxia Yu

    (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

Multimaterial additive manufacturing has important applications in various emerging fields. However, it is very challenging due to material and printing technology limitations. Here, we present a resin design strategy that can be used for single-vat single-cure grayscale digital light processing (g-DLP) 3D printing where light intensity can locally control the conversion of monomers to form from a highly stretchable soft organogel to a stiff thermoset within in a single layer of printing. The high modulus contrast and high stretchability can be realized simultaneously in a monolithic structure at a high printing speed (z-direction height 1 mm/min). We further demonstrate that the capability can enable previously unachievable or hard-to-achieve 3D printed structures for biomimetic designs, inflatable soft robots and actuators, and soft stretchable electronics. This resin design strategy thus provides a material solution in multimaterial additive manufacture for a variety of emerging applications.

Suggested Citation

  • 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.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36909-y
    DOI: 10.1038/s41467-023-36909-y
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    References listed on IDEAS

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    Cited by:

    1. Xiaohao Sun & Liang Yue & Luxia Yu & Connor T. Forte & Connor D. Armstrong & Kun Zhou & Frédéric Demoly & Ruike Renee Zhao & H. Jerry Qi, 2024. "Machine learning-enabled forward prediction and inverse design of 4D-printed active plates," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    2. 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.
    3. Bujingda Zheng & Yunchao Xie & Shichen Xu & Andrew C. Meng & Shaoyun Wang & Yuchao Wu & Shuhong Yang & Caixia Wan & Guoliang Huang & James M. Tour & Jian Lin, 2024. "Programmed multimaterial assembly by synergized 3D printing and freeform laser induction," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    4. 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.

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