Hybrid carbon nanotube yarn artificial muscle inspired by spider dragline silk

Kyoung-Yong Chun, Shi Hyeong Kim, Min Kyoon Shin, Cheong Hoon Kwon, Jihwang Park, Youn Tae Kim, Geoffrey M. Spinks, Márcio D. Lima, Carter S. Haines, Ray H. Baughman and Seon Jeong Kim ()
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Kyoung-Yong Chun: Hanyang University
Shi Hyeong Kim: Hanyang University
Min Kyoon Shin: Hanyang University
Cheong Hoon Kwon: Hanyang University
Jihwang Park: Hanyang University
Youn Tae Kim: Chosun University
Geoffrey M. Spinks: ARC Centre of Excellence for Electromaterials Science, Intelligent Polymer Research Institute, University of Wollongong
Márcio D. Lima: The Alan G. MacDiarmid NanoTech Institute, University of Texas at Dallas
Carter S. Haines: The Alan G. MacDiarmid NanoTech Institute, University of Texas at Dallas
Ray H. Baughman: The Alan G. MacDiarmid NanoTech Institute, University of Texas at Dallas
Seon Jeong Kim: Hanyang University

Nature Communications, 2014, vol. 5, issue 1, 1-9

Abstract: Abstract Torsional artificial muscles generating fast, large-angle rotation have been recently demonstrated, which exploit the helical configuration of twist-spun carbon nanotube yarns. These wax-infiltrated, electrothermally powered artificial muscles are torsionally underdamped, thereby experiencing dynamic oscillations that complicate positional control. Here, using the strategy spiders deploy to eliminate uncontrolled spinning at the end of dragline silk, we have developed ultrafast hybrid carbon nanotube yarn muscles that generated a 9,800 r.p.m. rotation without noticeable oscillation. A high-loss viscoelastic material, comprising paraffin wax and polystyrene-poly(ethylene–butylene)-polystyrene copolymer, was used as yarn guest to give an overdamped dynamic response. Using more than 10-fold decrease in mechanical stabilization time, compared with previous nanotube yarn torsional muscles, dynamic mirror positioning that is both fast and accurate is demonstrated. Scalability to provide constant volumetric torsional work capacity is demonstrated over a 10-fold change in yarn cross-sectional area, which is important for upscaled applications.

Date: 2014
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DOI: 10.1038/ncomms4322

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