Temperature‐Driven Topological Transformations in Prestressed Cellular Metamaterials

材料科学 超材料 拓扑(电路) 纳米技术 工程物理 光电子学 物理 电气工程 工程类
作者
Hang Yang,Weijie Wang,Jiang Zhu,Li Ma,Damiano Pasini,Wei Zhai
出处
期刊:Advanced Functional Materials [Wiley]
标识
DOI:10.1002/adfm.202413962
摘要

Abstract Stimuli‐responsive materials are able to alter their physicochemical properties, e.g., shape, color, or stiffness, upon exposure to an external trigger, e.g., heat, light, or humidity, exhibiting environmental adaptability. Their capacity to undergo shape reconfiguration, pattern transformation, and property modulation enables multifunctionality. In this work, two strategies are harnessed, i.e., prestressed assembly and temperature‐dependent stiffness reversal, to introduce a class of temperature‐responsive metamaterials capable of undergoing topological transformations, endowing them with smart functionality. Through a combination of mechanics theory, numerical simulations, and thermomechanical experiments, the physical mechanisms underlying the temperature‐triggered topological transformations leading to pattern switches are first elucidated, and then the insights are leveraged to demonstrate tunable bandgaps and robotic capturers. These findings reveal the attainment of giant negative and positive values of coefficient of thermal expansion, accompanied by isotropic expansion and shrinkage under thermal actuation within a fairly rapid timeframe, below 6 s. The strategy here presented is versatile as it relies on a pair of off‐the‐shelf 3D printable materials, can be up‐ and down‐scaled, and can also be realized through other physical stimuli, e.g., light and moisture, paving the way for use in multifunctional applications, including stimulus‐triggered morphing devices, autonomous sensors and actuators, and reconfigurable soft robots.
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
捱小秋发布了新的文献求助10
刚刚
1秒前
洛尚完成签到,获得积分10
1秒前
2秒前
张楚懿发布了新的文献求助10
2秒前
逢春完成签到,获得积分10
2秒前
唾沫星子完成签到,获得积分10
2秒前
3秒前
小二郎应助二师兄采纳,获得10
3秒前
4秒前
tt发布了新的文献求助10
4秒前
5秒前
6秒前
sakura发布了新的文献求助10
6秒前
7秒前
hang发布了新的文献求助10
7秒前
8秒前
8秒前
9秒前
pbc完成签到,获得积分10
10秒前
11秒前
繁荣的天玉完成签到,获得积分10
11秒前
11秒前
12秒前
二师兄完成签到,获得积分10
12秒前
12秒前
12秒前
12秒前
孤独的大灰狼完成签到 ,获得积分10
13秒前
捱小秋完成签到,获得积分20
13秒前
iNk应助My采纳,获得20
13秒前
十年123发布了新的文献求助10
13秒前
LYW完成签到,获得积分10
14秒前
15秒前
好好学习完成签到,获得积分10
15秒前
CodeCraft应助繁荣的天玉采纳,获得10
15秒前
无为应助unique采纳,获得10
15秒前
lfg发布了新的文献求助30
16秒前
二师兄发布了新的文献求助10
16秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Comprehensive Computational Chemistry 1000
Kelsen’s Legacy: Legal Normativity, International Law and Democracy 1000
Conference Record, IAS Annual Meeting 1977 610
Interest Rate Modeling. Volume 3: Products and Risk Management 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3552334
求助须知:如何正确求助?哪些是违规求助? 3128516
关于积分的说明 9378234
捐赠科研通 2827604
什么是DOI,文献DOI怎么找? 1554491
邀请新用户注册赠送积分活动 725515
科研通“疑难数据库(出版商)”最低求助积分说明 714943