Octopus‐Inpired Multicamouflage Smart Fabric by Dynamic‐Bond‐Based Hydrochromic Artificial Muscle

伪装 材料科学 红外线的 人工肌肉 皱纹 计算机科学 复合材料 人工智能 光学 物理 执行机构
作者
Xueqi Leng,Lisha Liu,Shiyong Liu,Yuanyuan Li,Yicheng Xiao,Lili Bao,Meifang Zhu,Qiang Zhou,Tianyu Zhu,Lian Xue,Zunfeng Liu,Xiang Zhou
出处
期刊:Advanced Functional Materials [Wiley]
标识
DOI:10.1002/adfm.202416912
摘要

Abstract In nature, many animals protect themselves through deformation, discoloration, and infrared concealment to achieve multiple forms of camouflage. Camouflage fabrics designed for deserts and rainforests have vastly different requirements for color, breathability, and infrared emission. However, the development of corresponding smart fabrics remains a significant challenge. In this work, a novel dynamic‐bond‐controlled hygro‐responsive hydrochromic wool fiber artificial muscle, inspired by the octopuses, has been developed, which used to construct a smart multi‐camouflage fabric that integrates deformation, allochromasia, and infrared concealment. The obtained fabric exhibits a green color in humid environments (rainforests), with large pores for perspiration. In a dry environment (deserts), the fabric contracts and changes to akhaki color, while the reduction in pore size enhances infrared shielding. As the relative humidity increases from 20% to 100%, the average pore size of multi‐camouflage smart fabric decreases by ∼84%, minimizing the radiative temperature difference between 36 °C target. This results in a temperature reduction of 5.2 °C for the target. The hydrochromic artificial muscle is also employed to develop smart fabrics that mimic octopus‐like behaviors. With its biocompatible, biodegradable, high thermal insulation, and comfortable wearability, the dynamic‐bond‐based multifunctional muscle fabric opens up additional possibilities for smart textiles, information technology, and artificial intelligence.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
1秒前
yln发布了新的文献求助10
1秒前
2秒前
2秒前
KUZZZ完成签到,获得积分10
2秒前
3秒前
左丘以云发布了新的文献求助20
3秒前
4秒前
4秒前
4秒前
5秒前
5秒前
5秒前
科研小白完成签到,获得积分10
5秒前
Ava应助KUZZZ采纳,获得10
6秒前
SciGPT应助平常的凝蕊采纳,获得10
6秒前
whh123完成签到 ,获得积分10
6秒前
7秒前
JamesPei应助liubo采纳,获得10
7秒前
7秒前
Ava应助hahhh7采纳,获得10
8秒前
lelsey发布了新的文献求助10
8秒前
陈先生发布了新的文献求助10
8秒前
jase发布了新的文献求助10
8秒前
丫丫完成签到,获得积分10
9秒前
9秒前
seannnnnnn发布了新的文献求助10
9秒前
1234发布了新的文献求助10
10秒前
和和发布了新的文献求助10
10秒前
HenryXiao发布了新的文献求助10
10秒前
11秒前
11秒前
11秒前
11秒前
汉堡包应助框框采纳,获得10
11秒前
左丘以云完成签到,获得积分10
11秒前
要去西农完成签到,获得积分20
12秒前
13秒前
13秒前
13秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Handbook of Marine Craft Hydrodynamics and Motion Control, 2nd Edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
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 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3987267
求助须知:如何正确求助?哪些是违规求助? 3529546
关于积分的说明 11245872
捐赠科研通 3268108
什么是DOI,文献DOI怎么找? 1804089
邀请新用户注册赠送积分活动 881339
科研通“疑难数据库(出版商)”最低求助积分说明 808653