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Multimaterial 4D Printing with Tailorable Shape Memory Polymers

Cited 719 time in Web of Science Cited 826 time in Scopus
Authors

Ge, Qi; Sakhaei, Amir Hosein; Lee, Howon; Dunn, Conner K.; Fang, Nicholas X.; Dunn, Martin L.

Issue Date
2016-08
Publisher
Nature Publishing Group
Citation
Scientific Reports, Vol.6, p. 31110
Abstract
We present a new 4D printing approach that can create high resolution (up to a few microns), multimaterial shape memory polymer (SMP) architectures. The approach is based on high resolution projection microstereolithography (P mu SL) and uses a family of photo-curable methacrylate based copolymer networks. We designed the constituents and compositions to exhibit desired thermomechanical behavior (including rubbery modulus, glass transition temperature and failure strain which is more than 300% and larger than any existing printable materials) to enable controlled shape memory behavior. We used a high resolution, high contrast digital micro display to ensure high resolution of photo-curing methacrylate based SMPs that requires higher exposure energy than more common acrylate based polymers. An automated material exchange process enables the manufacture of 3D composite architectures from multiple photo-curable SMPs. In order to understand the behavior of the 3D composite microarchitectures, we carry out high fidelity computational simulations of their complex nonlinear, time-dependent behavior and study important design considerations including local deformation, shape fixity and free recovery rate. Simulations are in good agreement with experiments for a series of single and multimaterial components and can be used to facilitate the design of SMP 3D structures.
ISSN
2045-2322
URI
https://hdl.handle.net/10371/201817
DOI
https://doi.org/10.1038/srep31110
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  • College of Engineering
  • Department of Mechanical Engineering
Research Area Additive Manufacturing, Architected Materials, Programmable Matter

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