Enhanced shape memory property of polylactide/thermoplastic poly(ether)urethane composites via carbon black self-networking induced co-continuous structure
Enhanced shape memory property of polylactide/thermoplastic poly(ether)urethane composites via carbon black self-networking induced co-continuous structure
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DOI：
10.1016/j.compscitech.2016.12.007
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发表时间：
2017-02-08
影响因子：
9.1
通讯作者：
Fu, Qiang
中科院分区：
文献类型：
--
作者：
Qi, Xiaodong;Xiu, Hao;Fu, Qiang
制备具有共连续结构的弹性体/塑料共混物有利于获得良好的形状回复和固定性能。本工作引入具有自组网能力的碳黑(CB)纳米粒子来调节聚乳酸(PLA)/热塑性聚醚氨酯(TPU)共混物(重量比为70/30)的相形态和形状记忆性能。随着CB含量的增加，复合材料的形态发生了由海岛结构向共连续结构的转变。CB纳米粒子与TPU之间的强亲和力以及CB纳米粒子的自组网能力导致了这种共连续结构的形成。具有这种新型结构的PLA70/TPU30/CB三元复合材料具有优异的形状记忆性能，这是因为连续的TPU相提供了更强的恢复驱动力。此外，CB纳米粒子选择性地定位在连续的TPU相中，使复合材料在较低的填充量下具有较高的力学性能和优异的导电性。复合材料表现出良好的电活性形状记忆行为，在30V电压下可在80 S内恢复到原来的形状。我们的工作提供了一种通过炭黑自联网的通用策略来制备具有最佳形状记忆性能和优异导电性能的双渗导电聚合物复合材料，这可能会促进其在智能器件中的具体应用。(C)2016爱思唯尔有限公司。保留所有权利。
The preparation of elastomer/plastic blends with co-continuous structure is beneficial to achieve good shape recovery and fixing performances. In this work, carbon black (CB) nanoparticles with self-networking capability were introduced to tailor the phase morphology and shape memory properties of polylactide (PLA)/thermoplastic poly(ether) urethane (TPU) blend (70/30 by weight). A morphological change from sea-island structure to co-continuous structure was observed with increasing CB content. The strong affinities between CB nanoparticles and TPU as well as the self-networking capability of CB nanoparticles led to the formation of this co-continuous structure. With such novel structure, the PLA70/TPU30/CB ternary composites owned an outstanding shape memory property because the continuous TPU phase provided stronger recovery driving force. Moreover, the selective localization of CB nanoparticles in the continuous TPU phase imparted the composites with enhanced mechanical properties and excellent electrical conductivities with low filler content. The composites then showed a good electroactive shape memory behavior, which could recover to their original shape within 80 s at 30 V. Our work provides a universal strategy via CB self-networking to prepare double percolated conductive polymer composites with optimal shape memory properties and excellent electrical conductivities, which may promote specific applications in intelligent devices. (C) 2016 Elsevier Ltd. All rights reserved.