Shape memory training for smart fabrics

被引：45
|
作者：
Stylios, George K. [1 ]
Wan, Taoyu [1 ]
机构：
[1] Heriot Watt Univ, Sch Text & Design, Netherdale TD1 3HF, Galashiels, England
来源：
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL | 2007年 / 29卷 / 3-4期
关键词：
fabric design; shape memory alloy; shape memory polymer; shape memory training;
D O I：
10.1177/0142331207069479
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Recent advances in shape memory alloys (SMAs) and shape memory polymers (SMPs) have inspired researchers to create intelligent textiles as self-regulating shape-changing structures responding to environmental variation, contributing to a new field in the scientific frontier of smart materials. This paper shows how appropriate shape memory training can engineer fabric designs to enhance their performance and their aesthetic appeal. Main technologies include the training procedure of shape memory effect (SME) in SMAs and SMPs, the regulation of phase transformation temperatures in SMAs, the manufacture of SMP yarns and SMP coating on fabrics for specific requirements of fabric design. Further attention is also paid to the combination of SMPs or SMAs with textile design of different fabric yarn for promoting specific dynamic aesthetic effects.
引用
收藏
页码：321 / 336
页数：16
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