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Get Free AccessLattice metamaterials constructed by curved microstructures exhibit large stretchability and are promising in soft electronics and soft robotics. Fractal structures are particularly efficient in improving stretchability as it shows multiple‐order uncurling. However, the development of fractal metamaterials is hindered by hierarchical structures and large deformations. In this study, a design framework combining experiments, hierarchical theoretical models, and finite element simulations is developed to program the mechanical behaviors of fractal metamaterials. For 3D printing, a digital design tool is developed to visualize the structure and automatically generate the manufacturing representations. Results show that large stretchability (≈360%), bionic stress–strain curve matching, and imperfection insensitivity can be programmed by tuning the geometric parameters. An integrated device of an electromyogram sensor embedded in an imperfection‐insensitive fractal metamaterial that matches the J‐shaped stress–strain curve of human skin is demonstrated. Light‐emitting diode devices based on fractal metamaterial with shape reconfiguration are also presented. This st paves a new way to realize multifunctional soft devices using fractal metamaterials.
Dong Wang, Le Dong, Guoying Gu (2022). 3D Printed Fractal Metamaterials with Tunable Mechanical Properties and Shape Reconfiguration. Advanced Functional Materials, 33(1), DOI: 10.1002/adfm.202208849.
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Type
Article
Year
2022
Authors
3
Datasets
0
Total Files
0
Language
English
Journal
Advanced Functional Materials
DOI
10.1002/adfm.202208849
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