Ge, Qi, Sakhaei, Amir Hosein, Lee, Howon, Dunn, Conner K., Fang, Nicholas X., Dunn, Martin L. (2016) Multimaterial 4D Printing with Tailorable Shape Memory Polymers. Scientific Reports, 6 . Article Number 31110. ISSN 2045-2322. E-ISSN 2045-2322. (doi:10.1038/srep31110) (KAR id:78420)
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Official URL: https://dx.doi.org/10.1038/srep31110 |
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 (PμSL) 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.
Item Type: | Article |
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DOI/Identification number: | 10.1038/srep31110 |
Uncontrolled keywords: | mechanical engineering; polymers |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) > TA401 Materials engineering and construction |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Amirhosein Sakhaei |
Date Deposited: | 08 Nov 2019 13:46 UTC |
Last Modified: | 05 Nov 2024 12:43 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/78420 (The current URI for this page, for reference purposes) |
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