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用于高级压迫疗法的应力记忆聚合物细丝。

Stress-memory polymeric filaments for advanced compression therapy.

作者信息

Narayana Harishkumar, Hu Jinlian, Kumar Bipin, Shang Songmin, Han Jianping, Liu Pengqing, Lin Tan, Ji FengLong, Zhu Yong

机构信息

Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong-999077, China.

出版信息

J Mater Chem B. 2017 Mar 14;5(10):1905-1916. doi: 10.1039/c6tb03354g. Epub 2017 Feb 1.

Abstract

Shape memory polymers are stimulus responsive smart materials that can be applied in several forms such as films, fibers, and foams for a wide range of applications. Novel stress-memory behavior at a fiber level is yet to be uncovered, which would be favorable to control stress in the broad horizon of smart materials for numerous functions. In this work, a semi-crystalline segmented polyurethane was synthesized to prepare filaments/fibres and films. A rational experimental design was established and the stress-memory behavior of both the films and filaments was systematically studied for comparison. Tensile stress-memory programming was performed at three strain levels (20%, 40%, and 60%) to record the memory stress response as a function of temperature with time. The characterization of the thermal and mechanical properties of the stress-memory programmed specimens has objectively proven the reason behind the higher stress response in the filaments than in the films. Melt spinning has induced perfect crystallization with ordered polymer packing and enabled maximum memory stress to be retrieved in the filaments. The evolution of memory stress follows a linear trend with an increase in strain and temperature (r = 0.91-1). In addition, pressure related studies were also carried out for smart filament integrative fabrics to realize stress-memory behavior. This unprecedented and novel approach of unveiling the memory behavior specifically at the filament level will enable material scientists to comprehend the fundamental aspects for precise optimization and control of memory stress in smart structures for applications such as compression stockings that require stimuli responsive force.

摘要

形状记忆聚合物是对刺激有响应的智能材料,可制成薄膜、纤维和泡沫等多种形式,用于广泛的应用。纤维水平上的新型应力记忆行为尚未被发现,这将有利于在智能材料的广阔领域中控制应力以实现多种功能。在这项工作中,合成了一种半结晶嵌段聚氨酯来制备长丝/纤维和薄膜。建立了合理的实验设计,并系统地研究了薄膜和长丝的应力记忆行为以进行比较。在三个应变水平(20%、40%和60%)下进行拉伸应力记忆编程,以记录记忆应力响应随温度和时间的变化。对应力记忆编程试样的热性能和力学性能的表征客观地证明了长丝中应力响应高于薄膜的原因。熔融纺丝诱导了完美的结晶,聚合物排列有序,并使长丝中能够恢复最大的记忆应力。记忆应力的演变随着应变和温度的增加呈线性趋势(r = 0.91 - 1)。此外,还对智能长丝集成织物进行了与压力相关的研究,以实现应力记忆行为。这种专门在长丝水平上揭示记忆行为的前所未有的新方法将使材料科学家能够理解在智能结构中精确优化和控制记忆应力的基本方面,这些智能结构可用于诸如需要刺激响应力的压缩长袜等应用。

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