Self-folding with shape memory composites
Origami-inspired manufacturing can produce complex structures and machines by folding two-dimensional composites into three-dimensional structures. This fabrication technique is potentially less expensive, faster, and easier to transport than more traditional machining methods, including 3-D printin...
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Format: | Article |
Language: | en_US |
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Royal Society of Chemistry
2014
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Online Access: | http://hdl.handle.net/1721.1/87629 https://orcid.org/0000-0003-3803-5703 https://orcid.org/0000-0001-5473-3566 |
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author | Felton, Samuel M. Tolley, Michael T. Shin, ByungHyun Onal, Cagdas Demaine, Erik D. Rus, Daniela L. Wood, Robert J. |
author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Felton, Samuel M. Tolley, Michael T. Shin, ByungHyun Onal, Cagdas Demaine, Erik D. Rus, Daniela L. Wood, Robert J. |
author_sort | Felton, Samuel M. |
collection | MIT |
description | Origami-inspired manufacturing can produce complex structures and machines by folding two-dimensional composites into three-dimensional structures. This fabrication technique is potentially less expensive, faster, and easier to transport than more traditional machining methods, including 3-D printing. Self-folding enhances this method by minimizing the manual labor involved in folding, allowing for complex geometries and enabling remote or automated assembly. This paper demonstrates a novel method of self-folding hinges using shape memory polymers (SMPs), paper, and resistive circuits to achieve localized and individually addressable folding at low cost. A model for the torque exerted by these composites was developed and validated against experimental data, in order to determine design rules for selecting materials and designing hinges. Torque was shown to increase with SMP thickness, resistive circuit width, and supplied electrical current. This technique was shown to be capable of complex geometries, as well as locking assemblies with sequential folds. Its functionality and low cost make it an ideal basis for a new type of printable manufacturing based on two-dimensional fabrication techniques. |
first_indexed | 2024-09-23T13:46:59Z |
format | Article |
id | mit-1721.1/87629 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T13:46:59Z |
publishDate | 2014 |
publisher | Royal Society of Chemistry |
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spelling | mit-1721.1/876292022-09-28T16:08:52Z Self-folding with shape memory composites Felton, Samuel M. Tolley, Michael T. Shin, ByungHyun Onal, Cagdas Demaine, Erik D. Rus, Daniela L. Wood, Robert J. Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Demaine, Erik D. Rus, Daniela L. Origami-inspired manufacturing can produce complex structures and machines by folding two-dimensional composites into three-dimensional structures. This fabrication technique is potentially less expensive, faster, and easier to transport than more traditional machining methods, including 3-D printing. Self-folding enhances this method by minimizing the manual labor involved in folding, allowing for complex geometries and enabling remote or automated assembly. This paper demonstrates a novel method of self-folding hinges using shape memory polymers (SMPs), paper, and resistive circuits to achieve localized and individually addressable folding at low cost. A model for the torque exerted by these composites was developed and validated against experimental data, in order to determine design rules for selecting materials and designing hinges. Torque was shown to increase with SMP thickness, resistive circuit width, and supplied electrical current. This technique was shown to be capable of complex geometries, as well as locking assemblies with sequential folds. Its functionality and low cost make it an ideal basis for a new type of printable manufacturing based on two-dimensional fabrication techniques. National Science Foundation (U.S.) (award number CCF-1138967) National Science Foundation (U.S.) (award number EFRI-1240383) 2014-06-04T18:25:20Z 2014-06-04T18:25:20Z 2013-08 2013-04 Article http://purl.org/eprint/type/JournalArticle 1744-683X 1744-6848 http://hdl.handle.net/1721.1/87629 Felton, Samuel M., Michael T. Tolley, ByungHyun Shin, Cagdas D. Onal, Erik D. Demaine, Daniela Rus, and Robert J. Wood. “Self-Folding with Shape Memory Composites.” Soft Matter 9, no. 32 (2013): 7688. https://orcid.org/0000-0003-3803-5703 https://orcid.org/0000-0001-5473-3566 en_US http://dx.doi.org/10.1039/c3sm51003d Soft Matter Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Royal Society of Chemistry MIT web domain |
spellingShingle | Felton, Samuel M. Tolley, Michael T. Shin, ByungHyun Onal, Cagdas Demaine, Erik D. Rus, Daniela L. Wood, Robert J. Self-folding with shape memory composites |
title | Self-folding with shape memory composites |
title_full | Self-folding with shape memory composites |
title_fullStr | Self-folding with shape memory composites |
title_full_unstemmed | Self-folding with shape memory composites |
title_short | Self-folding with shape memory composites |
title_sort | self folding with shape memory composites |
url | http://hdl.handle.net/1721.1/87629 https://orcid.org/0000-0003-3803-5703 https://orcid.org/0000-0001-5473-3566 |
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