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Fast and Efficient Electric‐Triggered Self‐Healing Shape Memory of CNTs@rGO Enhanced PCLPLA Copolymer
Author(s) -
Ren Du,
Chen Yujie,
Yang Senlin,
Li Hua,
Rehman Hafeez Ur,
Liu Hezhou
Publication year - 2019
Publication title -
macromolecular chemistry and physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.57
H-Index - 112
eISSN - 1521-3935
pISSN - 1022-1352
DOI - 10.1002/macp.201900281
Subject(s) - materials science , graphene , carbon nanotube , polylactic acid , copolymer , self healing , composite number , polycaprolactone , oxide , composite material , electric field , aerospace , nanotechnology , shape memory alloy , polymer , medicine , alternative medicine , physics , pathology , quantum mechanics , political science , law , metallurgy
Shape memory and self‐healing stimuli‐responsive polymeric materials have aroused extensive research interests due to their special functionality. In this work, a kind of novel and fast electric‐triggered self‐healing shape memory polymeric composite, based on polycaprolactone‐polylactic acid (PCLPLA) copolymer and reduced graphene oxide with embedded carbon nanotubes (CNTs@rGO), are prepared via a facile method. Interestingly, the CNTs@rGO‐PCLPLA composites show improved mechanical properties, excellent electrical conductivity, and could recover their original shape within 60 s by applying 1.42 V mm −1 electric field. Meanwhile, the proposed networks can be self‐heal rapidly and efficiently under electrothermal effect. These offer for the new material promising practical applications in aerospace, artificial skins, and electronic sensors.