Enhancing Fog Harvest Efficiency by 3D Filament Tree and Elastic Space Fabric

材料科学 线程(计算) 正硅酸乙酯 胶粘剂 复合材料 化学工程 纳米技术 计算机科学 操作系统 工程类 图层(电子)
作者
Luc The Nguyen,Zhiqing Bai,Jingjing Zhu,Can Gao,Hoang Luu,Bin Zhang,Jiansheng Guo
出处
期刊:ACS Sustainable Chemistry & Engineering [American Chemical Society]
卷期号:10 (34): 11176-11190 被引量:7
标识
DOI:10.1021/acssuschemeng.2c02765
摘要

Due to its multidimensional multilayer structure, elastic 3D space fabric (3D@SF) has a large fog capture area. However, it is constrained by droplet clogging. To solve the droplet clogging challenge, we created a new tree structure (Tree 3D@SF) that is almost similar to the branch of the Swamp Foxtail flower and to the two edges of a Shorebird's beaks. The filament surface of Tree 3D@SF's was modified by a simple bilayer method using silica nanoparticles and a hydrophobic adhesive to form hydrophobic bumps that periodically alternated highly hydrophobic sites. This formed the Hydrophobic/High Hydrophobic Bump-Tree 3D@SF. In addition, we adopted the sol–gel (polyurethane, tetraethyl orthosilicate and methyltriethoxysilane) and electrospray (PVAc) methods to develop High Hydrophobic-Tree 3D@SF and High Hydrophilic Knot-Tree 3D@SF. Specially, a novel-potential Auto 3D@SF fog collector was also developed by taking advantage of elasticity and change in the V-thread angle of 3D@SF, which was controlled by an automatic compression–relaxation system. Auto 3D@SF can be used in complex windy environments. Our results revealed that water harvesting rates using Auto 3D@SFs (4.31 g/cm2/h) and Tree 3D@SFs (4.29 g/cm2/h) were twice that of Original 3D@SF. This was attributed to improved synergistic effects of fog capturing, droplet growing and droplet shedding. These findings will inform the development of suitable designs of improved fog harvesters, particularly those that are based on elasticity of 3D space fabrics and textiles.

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
1秒前
胡乱说兔的熊完成签到,获得积分0
2秒前
lllkkk发布了新的文献求助10
2秒前
自由的寒香完成签到 ,获得积分10
2秒前
4秒前
丘比特应助平淡凡双采纳,获得10
5秒前
红姐1993完成签到,获得积分10
6秒前
he完成签到,获得积分10
6秒前
逐徒完成签到,获得积分10
6秒前
clvn完成签到,获得积分10
8秒前
8秒前
深情安青应助taozi采纳,获得10
9秒前
守拙发布了新的文献求助10
9秒前
徐要补补钙完成签到 ,获得积分10
9秒前
11秒前
12秒前
小欣完成签到,获得积分10
12秒前
13秒前
13秒前
13秒前
heyyyy发布了新的文献求助10
13秒前
张浩宇发布了新的文献求助10
14秒前
重要问丝发布了新的文献求助10
15秒前
15秒前
16秒前
演员发布了新的文献求助10
17秒前
BenjaminBrain发布了新的文献求助10
17秒前
18秒前
小刘完成签到,获得积分10
19秒前
19秒前
lisiran完成签到,获得积分10
22秒前
承天正德完成签到 ,获得积分10
22秒前
可乐全糖微冰完成签到,获得积分10
24秒前
二月半发布了新的文献求助10
25秒前
顺利的忆文完成签到,获得积分10
25秒前
xie完成签到,获得积分10
25秒前
zzzy完成签到 ,获得积分10
27秒前
追寻飞风完成签到,获得积分10
28秒前
28秒前
潜水的桃完成签到,获得积分10
28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
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 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 6347345
求助须知:如何正确求助?哪些是违规求助? 8162070
关于积分的说明 17168960
捐赠科研通 5403513
什么是DOI,文献DOI怎么找? 2861465
邀请新用户注册赠送积分活动 1839278
关于科研通互助平台的介绍 1688579