Literature DB >> 31355626

Electro and Light-Active Actuators Based on Reversible Shape-Memory Polymer Composites with Segregated Conductive Networks.

Zhao Xu1, Chao Ding1, Dun-Wen Wei2, Rui-Ying Bao1, Kai Ke1, Zhengying Liu1, Ming-Bo Yang1, Wei Yang1.   

Abstract

Reversible shape-memory polymers (RSMPs) show great potential in actuating applications because of its repeatability among many other advantages. Indeed, in many cases, multiresponsive RSMPs are more expected, and the strategy to introduce functional fillers without deteriorating the reversible deformation performance is of great importance. Here, a facile strategy to balance the electro, photothermal performance, and molecular chain mobility is reported. Segregated conductive networks of carbon nanotubes (S-CNTs) are constructed in the poly(ethylene-co-octene) (POE) matrix at a relatively low filler loading, which renders the composite good electrical, photothermal, and actuating properties. A low percolation threshold of 0.25 vol % is achieved. The electrical conductivity is up to 0.046 S·cm-1 for the POE/S-CNT composites with 2 vol % CNT, and the absorption of light (760 nm) is above 90%. These characteristics guarantee that the actuator can be driven at low voltage (≤36 V) and suitable light intensity (250 mW·cm-2) with a good actuating performance. An electric gripper and a light-active crawling robot demonstrate the potential applications in multiresponsive robots. This work introduces a facile strategy to fabricate multiresponsive RSMPs by designing CNT network structures in polymer composites and holds great potential to enlarge the applications of RSMPs in many areas including artificial muscles and bionic robots.

Entities:  

Keywords:  electro active actuators; light active actuators; molecular chain mobility; reversible shape-memory; segregated structure

Year:  2019        PMID: 31355626     DOI: 10.1021/acsami.9b10386

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  2 in total

Review 1.  Shape-Memory Polymeric Artificial Muscles: Mechanisms, Applications and Challenges.

Authors:  Yujie Chen; Chi Chen; Hafeez Ur Rehman; Xu Zheng; Hua Li; Hezhou Liu; Mikael S Hedenqvist
Journal:  Molecules       Date:  2020-09-16       Impact factor: 4.411

Review 2.  Shape Memory Polymers as Smart Materials: A Review.

Authors:  Tarek Dayyoub; Aleksey V Maksimkin; Olga V Filippova; Victor V Tcherdyntsev; Dmitry V Telyshev
Journal:  Polymers (Basel)       Date:  2022-08-26       Impact factor: 4.967

  2 in total

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