首页> 外文期刊>Journal of Applied Polymer Science >Thermal, mechanical, and shape-memory properties of nanorubber-toughened, epoxy-based shape-memory nanocomposites
【24h】

Thermal, mechanical, and shape-memory properties of nanorubber-toughened, epoxy-based shape-memory nanocomposites

机译:纳米橡胶钢化,基于环氧树脂的形状记忆纳米复合材料的热,机械和形状记忆性能

获取原文
获取原文并翻译 | 示例
           

摘要

Epoxy-based shape-memory polymers (ESMPs) are a type of the most promising engineering smart polymers. However, their inherent brittleness limits their applications. Existing modification approaches are either based on complicated chemical reactions or done at the cost of the thermal properties of the ESMPs. In this study, a simple approach was used to fabricate ESMPs with the aim of improving their overall properties by introducing crosslinked carboxylic nitrile-butadiene nanorubber (CNBNR) into the ESMP network. The results show that the toughness of the CNBNR-ESMP nanocomposites greatly improved at both room temperature and the glass-transition temperature (T-g) over that of the pure ESMP. Meanwhile, the increase in the toughness did not negatively affect other macroscopic properties. The CNBNR-ESMP nanocomposites presented improved thermal properties with a T-g in a stable range around 100 degrees C, enhanced thermal stabilities, and superior shape-memory performance in terms of the shape-fixing ratio, shape-recovery ratio, shape-recovery time, and repeatability of shape-memory cycles. The combined property improvements and the simplicity of the manufacturing process demonstrated that the CNBNR-ESMP nanocomposites are desirable candidates for large-scale applications in the engineering field as smart structural materials. (c) 2017 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2018, 135, 45780.
机译:基于环氧的形状记忆聚合物(ESMPs)是一种类型的最有前途的工程智能聚合物。然而,他们固有的脆性限制了其应用。现有修改方法要么基于复杂的化学反应,或在ESMPs的热性能的成本完成。在这项研究中,一个简单的方法被用来制造ESMPs与通过引入交联羧酸丁腈nanorubber(CNBNR)插入ESMP网络改善其总体性质的目的。该结果表明,CNBNR-ESMP的韧性在室温和超过该纯ESMP的玻璃化转变温度(T-G)纳米复合材料大大提高。同时,在韧性的增加并没有带来负面影响等宏观性质。所述CNBNR-ESMP纳米复合材料呈现的改进的Tg的热性质在约100℃的稳定范围内,增强的热稳定性,并且在形状固定比率的方面是优异的形状记忆性能,形状恢复率,形状恢复时间,和形状记忆周期重复性。将合并的性能的改进和证明CNBNR-ESMP纳米复合材料是用于在工程领域的智能结构材料的大规模应用中是期望的候选制造过程的简单性。 (c)2017 Wiley期刊,Inc.J.Phill。聚合物。 SCI。 2018年,135,45780。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号