Fast and Efficient Electric‐Triggered Self‐Healing Shape Memory of CNTs@rGO Enhanced PCLPLA Copolymer
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 (PCLPL...
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Veröffentlicht in: | Macromolecular chemistry and physics 2019-11, Vol.220 (21), p.n/a |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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.
Novel electric‐triggered self‐healing shape memory polymeric networks, based on polycaprolactone‐polylactic acid copolymer and reduced graphene oxide with embedded carbon nanotubes, are prepared and characterized. Significantly, the proposed composite not only can exhibit fast electro‐active shape memory property but also can be self‐healed rapidly and efficiently under electrothermal effect. These highlight promising applications in aerospace, artificial skins, and electronic sensors. |
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ISSN: | 1022-1352 1521-3935 |
DOI: | 10.1002/macp.201900281 |