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Shape-memory polymers and their composites: Stimulus methods and applications

delete2011-09-01
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PRE
AI
J
Jinsong Leng *
兰
兰鑫 (Xin Lan)
刘
刘彦菊 (Yanju Liu)
S
Shanyi Du
DOI:10.1016/j.pmatsci.2011.03.001delete
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摘要

摘要

En 中文
Shape-memory polymers (SMPs) undergo significant macroscopic deformation upon the application of an external stimulus (e.g., heat, electricity, light, magnetism, moisture and even a change in pH value). They have been widely researched since the 1980s and are an example of a promising smart material. This paper aims to provide a comprehensive review of SMPs, encompassing a fundamental understanding of the shape-memory effect, fabrication, modeling and characterization of SMPs, various actuation methods and multifunctional properties of SMP composites, and potential applications for SMP structures. A definition of SMPs and their fundamentals are first presented. Next, a description of their fabrication, characterization and constitutive models of SMPs are introduced. SMP composites, which act to improve a certain function as functional materials or the general mechanical properties as structural materials, are briefly discussed. Specially, the SMP composites can be developed into multifunctional materials actuated by various methods, such as thermal-induced, electro-activated, light-induced, magnetic-actuated and solution-responsive SMPs. As smart materials, the applications of SMPs and their composites receive much interest, including deployable structures, morphing structures, biomaterials, smart textiles and fabrics, SMP foams, automobile actuators and self-healing composite systems. (C) 2011 Elsevier Ltd. All rights reserved.
Keyword:
DIVINYLBENZENE THERMOSETTING COPOLYMERS
POLYURETHANE BLOCK-COPOLYMERS
POLYETHER-BASED POLYURETHANES
MECHANICAL-PROPERTIES
THERMOMECHANICAL PROPERTIES
CARBON NANOTUBES
SEGMENTED POLYURETHANES
CONSTITUTIVE MODEL
INTERPENETRATING NETWORKS
HYBRID COMPOSITES
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期刊

Progress in Materials Science 封面图
Progress in Materials Science
IF:
40
论文数:
1.4K
被引数:
3.7W

机构

H
harbin institute of technology
学者数:
8.0W
论文数: 6.6W
被引数: 66
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