Cited by 269Advanced Materials and MechanicsModular Robots and Swarm IntelligenceDielectric materials and actuators

Self-folding with shape memory composites

Open access
Felton, Samuel M., Tolley, Michael T., Shin, ByungHyun, Onal, Cagdas D., Demaine, Erik D., Rus, Daniela, Wood, Robert J.·2013·Soft Matter

Abstract

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.

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Registry

Crossref · 10.1039/c3sm51003d

Cites

28 of 28 references verified0 citation errors · 0 not checkable

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  • Equation (7) provides a basic guideline for how many more patterns become available if the actuation energy Eactuation is raised or if the energy of uncontrolled processes Enoise is lowered.

    “Equation (7) thus provides a basic guideline for how many more patterns become available if the actuation energy Eactuation is raised, say, at the cost of higher power input26 or if the energy of uncontrolled processes Enoise is lowered.”

    From Self-folding origami at any energy scale (2017) · cites this paper as [26]

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Authors
Felton, S. M., Tolley, M. T., Shin, B., Onal, C. D., Demaine, E. D., Rus, D., & Wood, R. J.
Affiliations
  • Harvard University (US)
  • Worcester Polytechnic Institute (US)
  • Massachusetts Institute of Technology (US)
Corresponding author
Felton, Samuel M.
Venue
Soft Matter
Published
2013
Volume
9
Issue
32
Pages
7688
ISSN
  • 1744-683X (ISSN-L)
  • 1744-6848
OpenAlex
W2127694416
Cited by
269
References
29
Citations by year
2026: 6 · 2025: 6 · 2024: 10 · 2023: 17 · 2022: 18 · 2021: 21 · 2020: 24 · 2019: 25 · 2018: 28 · 2017: 39 · 2016: 20 · 2015: 29 · 2014: 22 · 2013: 3
FWCI
32.70
Type
journal article
Language
en
Open access
Licence
cc-by-nc-sa
Locations
  • Soft Matter (publishedVersion)
  • DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
Topics
  • Physical Sciences › Engineering › Mechanical Engineering › Advanced Materials and Mechanics
  • Physical Sciences › Engineering › Mechanical Engineering › Modular Robots and Swarm Intelligence
  • Physical Sciences › Engineering › Biomedical Engineering › Dielectric materials and actuators
Keywords
self-folding, shape memory polymers, hinge, paper composites, resistive circuits, torque modeling, foldable electronics, additive manufacturing

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