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Rapid Volatilization Induced Mechanically Robust Shape-Morphing Structures toward 4D Printing.

Qiang Zhang1,2, Xiao Kuang1, Shayuan Weng1,3

  • 1The George W. Woodruff School of Mechanical Engineering Georgia Institute of Technology, Atlanta, Georgia 30332, United States.

ACS Applied Materials & Interfaces
|March 21, 2020
PubMed
Summary
This summary is machine-generated.

Researchers developed a new shape-shifting material system. This system uses volatile component loss to drive rapid, robust shape transformations, enabling high load-bearing capacity after postcuring for advanced applications.

Keywords:
3D printing4D printingfolding structuresshape-morphing structuresshape-shifting materials

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Area of Science:

  • Materials Science
  • Polymer Chemistry
  • Robotics

Background:

  • Shape-programmable materials are inspired by nature for applications in actuators, deployable devices, and soft robots.
  • Current challenges include fabricating mechanically robust, rapidly transforming structures with high load-bearing capacity.

Purpose of the Study:

  • To develop a mechanically robust and rapid shape-shifting material system.
  • To enable on-demand, complex shape transformations with high load-bearing capabilities.

Main Methods:

  • Utilizing photopolymerization to create a partially cured cross-linking network with a volatile component.
  • Exploiting volume shrinkage from volatile component volatilization to drive shape transformation.
  • Employing post-photopolymerization to enhance material stiffness and load-bearing capacity.

Main Results:

  • Demonstrated a mechanically robust and rapid shape-shifting material system.
  • Achieved complex 2D-to-3D and 3D-to-3D' shape transformations, including self-folding buckyballs and pop-up structures.
  • Showcased a 3D Miura-ori structure holding over 1600 times its weight after postcuring.

Conclusions:

  • The developed material system offers a versatile, low-cost method for fabricating robust, rapid shape-morphing structures.
  • Potential applications include soft robots, deployable antennas, and optical devices.
  • This approach overcomes key challenges in shape-programmable materials.