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• W2897467721 abstract "Polymer blends with self-healing capability when damaged have received increasing interests and have been developing rapidly because of their many potential applications. Here, the polymer blend comprising of thermoplastic polyurethane (TPU) and polycaprolactone (PCL) as shape memory matrix was initially prepared by melting blending, and then the multiwalled carbon nanotubes (MWCNTs) were incorporated to endow the blend with excellent self-healing property in the presence of near infrared (NIR) irradiation (808 nm, 0.14 W). Compared with the traditional heat-induced self-healing shape memory composites, NIR irradiation could not only reduce the healing time, but also can selectively repair the exposed damaged regions without distinct interference to the performance of surrounding parts. As revealed, these composites presented superior shape memory and self-healing behavior in the presence of NIR irradiation. Specifically, the blend containing 50% TPU, 50% PCL and 3 MWCNTs (U1C1-3) possesses shape memory properties as manifested by a ca. 96.8% shape fixing ratio (Rf) and ca. 63.9% shape recovery ratio (Rr). The surface crack and scratches can be completely recovered in 3 min NIR irradiation. And moreover, this NIR stimulated self-healing could performed repeatedly for at least 4 times, with healing efficiency of ca. 96%. All these observations could be attributed to the hybrid crystalline and amorphous regions of PCL and TPU, as well as the well distribution of MWCNTs in the polymeric matrix. The superior shape memory and self-healing properties, along with the easy and scalable process of fabrication, make these blends ideal candidates for an ensemble of applications, including biomedical, packing and microelectronics." @default.
• W2897467721 created "2018-10-26" @default.
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• W2897467721 date "2018-11-01" @default.
• W2897467721 modified "2023-10-12" @default.
• W2897467721 title "Self-healing thermoplastic polyurethane (TPU)/polycaprolactone (PCL) /multi-wall carbon nanotubes (MWCNTs) blend as shape-memory composites" @default.
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• W2897467721 doi "https://doi.org/10.1016/j.compscitech.2018.10.003" @default.
• W2897467721 hasPublicationYear "2018" @default.
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