Tunable Shape Memory Performances via Multilayer Assembly of Thermoplastic Polyurethane and Polycaprolactone

材料科学 热塑性聚氨酯 聚己内酯 复合材料 形状记忆合金 剪切(物理) 形态学(生物学) 挤压 聚氨酯 粘弹性 热塑性塑料 图层(电子) 聚合物 弹性体 生物 遗传学
作者
Yu Zheng,Renqiong Dong,Jiabin Shen,Shaoyun Guo
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:8 (2): 1371-1380 被引量:98
标识
DOI:10.1021/acsami.5b10246
摘要

Shape memory materials containing alternating layers of thermoplastic polyurethane (TPU) and polycaprolactone (PCL) were fabricated through layer-multiplying extrusion. As a type of special co-continuous morphology, the multilayer structure had stable and well-defined continuous layer spaces and could be controlled by changing the number of layers. Compared with conventional polymer blends, the multilayer-assembled system with the same compositions had higher shape-fixing and -recovery ratios that could be further improved by increasing the number of layers. By analyzing from a viscoelastic model, the deformation energy preserved in elastic TPU layers would be balanced by adjacent PCL layers through interfacial shearing effect so that each component in the multilayer structure was capable of endowing the maximum contribution to both of the shape-fixing and -recovery stages. Besides, the influence of the hardness of TPU layers and the morphology of PCL layers were respectively concerned as well. Results revealed that choosing low-hardness TPU or replacing neat PCL layers by TPU/PCL blend with co-continuous morphology were beneficial to achieving outstanding shape memory performances.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
今夜无星关注了科研通微信公众号
刚刚
1秒前
lllll发布了新的文献求助10
1秒前
3秒前
3秒前
万能图书馆应助杨大大采纳,获得10
4秒前
5秒前
5秒前
33988发布了新的文献求助10
5秒前
个性的觅波完成签到,获得积分10
6秒前
bai发布了新的文献求助10
6秒前
7秒前
高手如林完成签到,获得积分10
8秒前
小葛发布了新的文献求助10
9秒前
子车立轩发布了新的文献求助10
9秒前
10秒前
不乖发布了新的文献求助10
10秒前
天天快乐应助galvin采纳,获得10
10秒前
张宪超完成签到,获得积分10
10秒前
eccentric完成签到,获得积分10
12秒前
李健的粉丝团团长应助Mar采纳,获得10
13秒前
今夜无星发布了新的文献求助30
13秒前
sorrydream发布了新的文献求助10
14秒前
ALALEI发布了新的文献求助10
15秒前
子曰完成签到,获得积分10
15秒前
15秒前
HSDSD完成签到,获得积分20
16秒前
16秒前
质延完成签到 ,获得积分10
16秒前
风中秋天发布了新的文献求助10
17秒前
17秒前
愉快怀绿完成签到,获得积分10
19秒前
20秒前
20秒前
牛奶草莓发布了新的文献求助10
20秒前
21秒前
Cherie完成签到,获得积分10
21秒前
科研通AI6.1应助跳跃靖采纳,获得10
21秒前
Nexus应助过期的帕罗西汀采纳,获得10
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 500
17α-Methyltestosterone Immersion Induces Sex Reversal in Female Mandarin Fish (Siniperca Chuatsi) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6365036
求助须知:如何正确求助?哪些是违规求助? 8179063
关于积分的说明 17239850
捐赠科研通 5420164
什么是DOI,文献DOI怎么找? 2867869
邀请新用户注册赠送积分活动 1844933
关于科研通互助平台的介绍 1692430