Strain-programmable fiber-based artificial muscle.


Journal

Science (New York, N.Y.)
ISSN: 1095-9203
Titre abrégé: Science
Pays: United States
ID NLM: 0404511

Informations de publication

Date de publication:
12 07 2019
Historique:
received: 02 12 2018
accepted: 12 06 2019
entrez: 13 7 2019
pubmed: 13 7 2019
medline: 24 3 2020
Statut: ppublish

Résumé

Artificial muscles may accelerate the development of robotics, haptics, and prosthetics. Although advances in polymer-based actuators have delivered unprecedented strengths, producing these devices at scale with tunable dimensions remains a challenge. We applied a high-throughput iterative fiber-drawing technique to create strain-programmable artificial muscles with dimensions spanning three orders of magnitude. These fiber-based actuators are thermally and optically controllable, can lift more than 650 times their own weight, and withstand strains of >1000%. Integration of conductive nanowire meshes within these fiber-based muscles offers piezoresistive strain feedback and demonstrates long-term resilience across >10

Identifiants

pubmed: 31296764
pii: 365/6449/145
doi: 10.1126/science.aaw2502
pmc: PMC7262675
mid: NIHMS1589625
doi:

Substances chimiques

Carbon Fiber 0
Polymethyl Methacrylate 9011-14-7

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

145-150

Subventions

Organisme : NINDS NIH HHS
ID : R01 NS086804
Pays : United States

Informations de copyright

Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

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Auteurs

Mehmet Kanik (M)

Research Laboratory of Electronics, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.
Department of Materials Science and Engineering, MIT, Cambridge, MA 02139, USA.

Sirma Orguc (S)

Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA 02139, USA.

Georgios Varnavides (G)

Research Laboratory of Electronics, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.
Department of Materials Science and Engineering, MIT, Cambridge, MA 02139, USA.
John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.

Jinwoo Kim (J)

Department of Materials Science and Engineering, MIT, Cambridge, MA 02139, USA.

Thomas Benavides (T)

Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA 02139, USA.

Dani Gonzalez (D)

Department of Mechanical Engineering, MIT, Cambridge, MA 02139, USA.

Timothy Akintilo (T)

Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA 98195, USA.

C Cem Tasan (CC)

Department of Materials Science and Engineering, MIT, Cambridge, MA 02139, USA.

Anantha P Chandrakasan (AP)

Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA 02139, USA.

Yoel Fink (Y)

Research Laboratory of Electronics, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.
Department of Materials Science and Engineering, MIT, Cambridge, MA 02139, USA.

Polina Anikeeva (P)

Research Laboratory of Electronics, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA. anikeeva@mit.edu.
Department of Materials Science and Engineering, MIT, Cambridge, MA 02139, USA.

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Classifications MeSH