Materials Sciences

New Technique Guides Self-Folding 3D Structures With Templates

Researchers from NC State University have developed a new technique to control self-folding three-dimensional (3D) structures. Specifically, the researchers use templates to constrain deformation in certain selected areas on a two-dimensional structure, which in turn dictates the resulting 3D structure of the material. The two-dimensional shapes shown at the top of the image fold themselves into the 3D structures shown on the bottom.
Credit: Yong Zhu

The new technique does not rely on cutting or printing on the material, as most other self-folding origami techniques do. It is also different from continuous shape morphing, which is typically controlled by engineering the in-plane strain at various parts of the material. Instead, the researchers applied paperboard sheets to a polymer substrate, forming specific patterns.

“When heat is applied to the polymer, it shrinks,” says Yong Zhu, a professor of mechanical and aerospace engineering at NC State and corresponding author of a paper on the work. “However, the sections of polymer that are attached to the paperboard are restrained from shrinking, causing the overall substrate to bend and curve.”

By varying the pattern made by the paperboard templates, the researchers are able to create a variety of shapes, from simple cones to complex, tiered structures. The self-folding operations can be executed at temperatures as low as 120 degrees Celsius.

“This is a proof of concept paper, and next steps include incorporating functional electronic elements into the material, giving it potential value for manufacturing applications,” says Jianxun Cui, first author of the paper and a postdoctoral researcher at Carnegie Mellon University who worked on this project while a Ph.D. student at NC State.

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The paper, “Origami/Kirigami Guided Morphing of Composite Sheets,” is published in the journal Advanced Functional Materials. The paper was co-authored by Felipe Poblete, a Ph.D. student at NC State. The work was done with support from the National Science Foundation under the Emerging Frontiers in Research and Innovation program, grant number EFRI-1240438.

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