Cargando…

Sequential Self-Folding Structures by 3D Printed Digital Shape Memory Polymers

Folding is ubiquitous in nature with examples ranging from the formation of cellular components to winged insects. It finds technological applications including packaging of solar cells and space structures, deployable biomedical devices, and self-assembling robots and airbags. Here we demonstrate s...

Descripción completa

Detalles Bibliográficos
Autores principales: Mao, Yiqi, Yu, Kai, Isakov, Michael S., Wu, Jiangtao, Dunn, Martin L., Jerry Qi, H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4562068/
https://www.ncbi.nlm.nih.gov/pubmed/26346202
http://dx.doi.org/10.1038/srep13616
_version_ 1782389108548567040
author Mao, Yiqi
Yu, Kai
Isakov, Michael S.
Wu, Jiangtao
Dunn, Martin L.
Jerry Qi, H.
author_facet Mao, Yiqi
Yu, Kai
Isakov, Michael S.
Wu, Jiangtao
Dunn, Martin L.
Jerry Qi, H.
author_sort Mao, Yiqi
collection PubMed
description Folding is ubiquitous in nature with examples ranging from the formation of cellular components to winged insects. It finds technological applications including packaging of solar cells and space structures, deployable biomedical devices, and self-assembling robots and airbags. Here we demonstrate sequential self-folding structures realized by thermal activation of spatially-variable patterns that are 3D printed with digital shape memory polymers, which are digital materials with different shape memory behaviors. The time-dependent behavior of each polymer allows the temporal sequencing of activation when the structure is subjected to a uniform temperature. This is demonstrated via a series of 3D printed structures that respond rapidly to a thermal stimulus, and self-fold to specified shapes in controlled shape changing sequences. Measurements of the spatial and temporal nature of self-folding structures are in good agreement with the companion finite element simulations. A simplified reduced-order model is also developed to rapidly and accurately describe the self-folding physics. An important aspect of self-folding is the management of self-collisions, where different portions of the folding structure contact and then block further folding. A metric is developed to predict collisions and is used together with the reduced-order model to design self-folding structures that lock themselves into stable desired configurations.
format Online
Article
Text
id pubmed-4562068
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-45620682015-09-15 Sequential Self-Folding Structures by 3D Printed Digital Shape Memory Polymers Mao, Yiqi Yu, Kai Isakov, Michael S. Wu, Jiangtao Dunn, Martin L. Jerry Qi, H. Sci Rep Article Folding is ubiquitous in nature with examples ranging from the formation of cellular components to winged insects. It finds technological applications including packaging of solar cells and space structures, deployable biomedical devices, and self-assembling robots and airbags. Here we demonstrate sequential self-folding structures realized by thermal activation of spatially-variable patterns that are 3D printed with digital shape memory polymers, which are digital materials with different shape memory behaviors. The time-dependent behavior of each polymer allows the temporal sequencing of activation when the structure is subjected to a uniform temperature. This is demonstrated via a series of 3D printed structures that respond rapidly to a thermal stimulus, and self-fold to specified shapes in controlled shape changing sequences. Measurements of the spatial and temporal nature of self-folding structures are in good agreement with the companion finite element simulations. A simplified reduced-order model is also developed to rapidly and accurately describe the self-folding physics. An important aspect of self-folding is the management of self-collisions, where different portions of the folding structure contact and then block further folding. A metric is developed to predict collisions and is used together with the reduced-order model to design self-folding structures that lock themselves into stable desired configurations. Nature Publishing Group 2015-09-08 /pmc/articles/PMC4562068/ /pubmed/26346202 http://dx.doi.org/10.1038/srep13616 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Mao, Yiqi
Yu, Kai
Isakov, Michael S.
Wu, Jiangtao
Dunn, Martin L.
Jerry Qi, H.
Sequential Self-Folding Structures by 3D Printed Digital Shape Memory Polymers
title Sequential Self-Folding Structures by 3D Printed Digital Shape Memory Polymers
title_full Sequential Self-Folding Structures by 3D Printed Digital Shape Memory Polymers
title_fullStr Sequential Self-Folding Structures by 3D Printed Digital Shape Memory Polymers
title_full_unstemmed Sequential Self-Folding Structures by 3D Printed Digital Shape Memory Polymers
title_short Sequential Self-Folding Structures by 3D Printed Digital Shape Memory Polymers
title_sort sequential self-folding structures by 3d printed digital shape memory polymers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4562068/
https://www.ncbi.nlm.nih.gov/pubmed/26346202
http://dx.doi.org/10.1038/srep13616
work_keys_str_mv AT maoyiqi sequentialselffoldingstructuresby3dprinteddigitalshapememorypolymers
AT yukai sequentialselffoldingstructuresby3dprinteddigitalshapememorypolymers
AT isakovmichaels sequentialselffoldingstructuresby3dprinteddigitalshapememorypolymers
AT wujiangtao sequentialselffoldingstructuresby3dprinteddigitalshapememorypolymers
AT dunnmartinl sequentialselffoldingstructuresby3dprinteddigitalshapememorypolymers
AT jerryqih sequentialselffoldingstructuresby3dprinteddigitalshapememorypolymers