Jump to main content
Jump to site search

Issue 42, 2016
Previous Article Next Article

Shape-memory polymer nanocomposites with a 3D conductive network for bidirectional actuation and locomotion application

Author affiliations

Abstract

Electrical stimulation of shape-memory polymers (SMPs) has many advantages over thermal methods; creating an efficient conductive path through the bulk polymers is essential for developing high performance electroactive systems. Here, we show that a three-dimensional (3D) porous carbon nanotube sponge can serve as a built-in integral conductive network to provide internal, homogeneous, in situ Joule heating for shape-memory polymers, thus significantly improving the mechanical and thermal behavior of SMPs. As a result, the 3D nanocomposites show a fast response and produce large exerting forces (with a maximum flexural stress of 14.6 MPa) during shape recovery. We further studied the construction of a double-layer composite structure for bidirectional actuation, in which the shape change is dominated by the temperature-dependent exerting force from the top and bottom layer, alternately. An inchworm-type robot is demonstrated whose locomotion is realized by such bidirectional shape memory. Our large stroke shape-memory nanocomposites have promising applications in many areas including artificial muscles and bionic robots.

Graphical abstract: Shape-memory polymer nanocomposites with a 3D conductive network for bidirectional actuation and locomotion application

Back to tab navigation
Please wait while Download options loads

Supplementary files

Publication details

The article was received on 17 Aug 2016, accepted on 30 Sep 2016 and first published on 03 Oct 2016


Article type: Communication
DOI: 10.1039/C6NR06515E
Citation: Nanoscale, 2016,8, 18042-18049
  •   Request permissions

    Shape-memory polymer nanocomposites with a 3D conductive network for bidirectional actuation and locomotion application

    Q. Peng, H. Wei, Y. Qin, Z. Lin, X. Zhao, F. Xu, J. Leng, X. He, A. Cao and Y. Li, Nanoscale, 2016, 8, 18042
    DOI: 10.1039/C6NR06515E

Search articles by author