Thermomechanical performance and shape recovery behaviour of shape memory polymer nanocomposite incorporated with hexagonal boron nitride

材料科学 纳米复合材料 复合材料 氮化硼 形状记忆聚合物 形状记忆合金 聚合物 玻璃化转变 热导率 六方氮化硼 制作 纳米技术 石墨烯 医学 病理 替代医学
作者
Zhenghong Li,Haibao Lu,Yongtao Yao,Long Lin
出处
期刊:Pigment & Resin Technology [Emerald Publishing Limited]
卷期号:46 (1): 79-83 被引量:10
标识
DOI:10.1108/prt-01-2016-0016
摘要

Purpose The purpose of this paper is to develop an effective approach to significantly improve the thermomechanical properties of shape memory polymer (SMP) nanocomposites that show fast thermally responsive shape recovery. Design/methodology/approach Hexagonal boron nitrides (h-BNs) were incorporated into polymer matrix in an attempt to improve the thermal conductivity and thermally responsive shape recovery behaviour of SMP, respectively. Thermally actuated shape recovery behaviour was recorded and monitored instrumentally. Findings The results show that both glass transition temperature ( T g ) and thermomechanical properties of the SMP nanocomposites have been progressively improved with increasing concentration of h-BNs. Analytical results also suggest that the fast-responsive recovery behaviour of the SMP nanocomposite incorporated with h-BNs was due to the increased thermal conductivity. Research limitations/implications A simple way for fabricating SMP nanocomposites with enhanced thermally responsive shape recovery based on the incorporation of h-BNs was developed. Originality/value The outcome of this study may help fabrication of SMP nanocomposites with fast responsive recovery behaviour.

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
耶嘿发布了新的文献求助10
2秒前
2秒前
2秒前
科目三应助神勇的砖头采纳,获得10
2秒前
Ustinian发布了新的文献求助10
2秒前
3秒前
3秒前
kitty完成签到 ,获得积分10
4秒前
7秒前
7秒前
Akim应助seven采纳,获得10
7秒前
8秒前
Hello应助科研通管家采纳,获得10
8秒前
Hello应助科研通管家采纳,获得10
8秒前
脑洞疼应助科研通管家采纳,获得10
8秒前
一一应助科研通管家采纳,获得10
8秒前
8秒前
一一应助科研通管家采纳,获得10
8秒前
华仔应助科研通管家采纳,获得10
8秒前
五條小羊发布了新的文献求助10
8秒前
JamesPei应助科研通管家采纳,获得10
8秒前
英俊的铭应助科研通管家采纳,获得10
9秒前
9秒前
赘婿应助科研通管家采纳,获得10
9秒前
9秒前
英姑应助科研通管家采纳,获得10
9秒前
9秒前
9秒前
哈哈哈嗝发布了新的文献求助10
10秒前
内向的元正完成签到,获得积分20
10秒前
10秒前
诚心一一完成签到 ,获得积分10
11秒前
我是老大应助lc采纳,获得10
12秒前
13秒前
兔农糖发布了新的文献求助10
14秒前
慕青应助Sweger采纳,获得10
15秒前
CodeCraft应助fh采纳,获得10
16秒前
Ava应助精英刺客采纳,获得10
18秒前
xdy1990发布了新的文献求助10
18秒前
李治海完成签到,获得积分10
19秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Gothic forms of feminine fictions 200
Stock price prediction in Chinese stock markets based on CNN-GRU-attention model 200
The phrasal lexicon 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3836326
求助须知:如何正确求助?哪些是违规求助? 3378639
关于积分的说明 10505544
捐赠科研通 3098283
什么是DOI,文献DOI怎么找? 1706415
邀请新用户注册赠送积分活动 821000
科研通“疑难数据库(出版商)”最低求助积分说明 772417