已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Smart materials: The next generation in science and engineering

形状记忆合金 形状记忆聚合物 智能材料 材料科学 假弹性 流变学 纳米技术 计算机科学 机械工程 复合材料 工程类 微观结构 马氏体
作者
Mert Yıldırım,Zeki Candan
出处
期刊:Materials Today: Proceedings [Elsevier]
被引量:24
标识
DOI:10.1016/j.matpr.2023.10.116
摘要

In recent years, fascinating developments in various areas of materials science have happened. Smart materials, also known as intelligent or stimuli-responsive materials, have attracted attention in science and engineering. Smart materials are divided into six different groups: shape memory materials, piezoelectric materials, magnetostrictive materials, electro-rheological and magneto-rheological fluids, and self-healing materials. Shape-memory and self-healing materials are the most popular and important kinds of smart materials. Shape-memory materials have the ability to react to certain stimuli, such as temperature, pH, light, magnetic fields, and electric fields, and transform from a temporary shape to their original shape after exposure to these stimuli. Shape-memory alloys and shape-memory polymers have attracted the most attention and are widely used among all kinds of shape-memory materials developed. The two most important properties of shape-memory alloys are shape memory and superelasticity. Shape-memory polymers are gaining popularity because of specific benefits such as their high shape recovery rate, light weight, low density, high strength-to-weight ratio, high shape deformability, and readily tailorable glass transition temperature. Self-healing materials have the ability to fully or partially repair their features and functionality after repeated damage. Self-healing materials are divided into two categories: intrinsic and extrinsic, as well as autonomous and non-autonomous. These materials have the potential to increase their lifetime while reducing maintenance costs. Smart materials have a wide range of applications, including aerospace, automotive, biomedicine, and construction. The goal of this paper is to provide an overview of smart materials.
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
Amy完成签到,获得积分10
4秒前
可耐的茗茗完成签到,获得积分20
4秒前
5秒前
demon完成签到,获得积分10
7秒前
Liu完成签到,获得积分10
7秒前
小白菜完成签到 ,获得积分10
7秒前
helinchen完成签到,获得积分10
8秒前
newbiology完成签到 ,获得积分10
11秒前
11秒前
十三完成签到 ,获得积分10
11秒前
12秒前
Benjamin完成签到 ,获得积分10
13秒前
渔渔完成签到 ,获得积分10
13秒前
乔治韦斯莱完成签到 ,获得积分10
15秒前
希望天下0贩的0应助123采纳,获得10
15秒前
林黛玉倒拔垂杨柳完成签到 ,获得积分10
17秒前
18秒前
sunwb83完成签到,获得积分10
18秒前
20秒前
尾状叶完成签到 ,获得积分10
20秒前
壹壹完成签到 ,获得积分10
21秒前
风起云涌完成签到,获得积分10
22秒前
沉静听枫发布了新的文献求助10
23秒前
想不出来完成签到 ,获得积分10
24秒前
细心的雨竹完成签到,获得积分10
26秒前
27秒前
27秒前
科研通AI2S应助kang采纳,获得10
28秒前
简单白晴发布了新的文献求助10
29秒前
王吉萍完成签到 ,获得积分10
30秒前
平淡满天完成签到,获得积分20
30秒前
30秒前
多情的忆之完成签到,获得积分10
32秒前
鱼山完成签到,获得积分10
32秒前
34秒前
大模型应助Drliu采纳,获得30
34秒前
李健应助Drliu采纳,获得10
34秒前
37秒前
Ray羽曦~完成签到 ,获得积分10
37秒前
斯文的凝珍完成签到,获得积分10
38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
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Social Cognition: Understanding People and Events 800
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6027117
求助须知:如何正确求助?哪些是违规求助? 7674009
关于积分的说明 16184603
捐赠科研通 5174804
什么是DOI,文献DOI怎么找? 2768936
邀请新用户注册赠送积分活动 1752419
关于科研通互助平台的介绍 1638188