Design of an Advanced Composite Surface for Low Ice Adhesion: Integrating Active and Passive Anti-/Deicing Strategies to Disrupt Icing Interfaces

结冰 材料科学 复合数 粘附 复合材料 表面能 纳米技术 气象学 物理
作者
Yujie Ni,Xianxian Cui,Zehui Zhao,J.J. Quan,Guangwei Liu,Xiaolin Liu,Huawei Chen
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:17 (9): 14692-14702 被引量:17
标识
DOI:10.1021/acsami.4c21344
摘要

Icing presents substantial economic challenges and endangers equipment safety. Contemporary anti-icing research emphasizes the integration of active and passive technologies, with a particular focus on mitigating ice adhesion for more efficient anti-icing and deicing solutions. In this study, a multilayer composite antideicing surface is developed, integrating energy storage, photo-/electro-thermal functionalities, and superslippery properties. The top quasi-solid slippery layer, composed of epoxy resin embedded with oil-stored graphene nanoparticles, provides stable hydrophobic performance for various water-based liquids, reducing ice adhesion to approximately 25 kPa. Furthermore, the energy storage layer at the base introduces heterogeneity in the icing timeline across regions, leveraging volumetric expansion during the water phase transition to disturb the ice interface, achieving adhesion reductions to around 12 kPa. The intermediate layer features photo-/electro-thermal capabilities, enabling surface temperature elevation upon application of electrical or optical energy, melting interfacial ice, and forming a liquid film. This process disrupts the frozen interface, further lowering the ice adhesion force to below 1 kPa. The synergistic interaction between photo-/electro-thermal effects and the superslippery surface significantly enhances the anti-icing and deicing efficiency of the composite structure. These findings offer promising advancements for engineering applications requiring high-efficiency active and passive anti-icing/deicing strategies.
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
雨宿完成签到,获得积分10
刚刚
chandlerwong完成签到,获得积分20
刚刚
科研通AI6.1应助hux采纳,获得10
刚刚
面包达人发布了新的文献求助10
1秒前
zyn完成签到,获得积分10
1秒前
1秒前
花鸢发布了新的文献求助10
1秒前
爆米花应助牛牛采纳,获得20
1秒前
1秒前
花花完成签到,获得积分10
1秒前
HMZ完成签到,获得积分10
2秒前
2秒前
小薛发布了新的文献求助10
2秒前
史淼荷发布了新的文献求助20
3秒前
伶俐芝麻完成签到 ,获得积分10
4秒前
YWK完成签到,获得积分10
4秒前
4秒前
LCC发布了新的文献求助20
4秒前
Minjie完成签到,获得积分10
4秒前
Lucas应助张臻采纳,获得10
4秒前
茂茂完成签到,获得积分10
4秒前
孟德尔吃豌豆完成签到,获得积分10
4秒前
一十六完成签到,获得积分10
5秒前
脑洞疼应助泉竹晓筱采纳,获得10
5秒前
周子淦发布了新的文献求助10
5秒前
niannian发布了新的文献求助10
6秒前
6秒前
熊佳晖完成签到,获得积分20
6秒前
香蕉觅云应助xinying采纳,获得10
6秒前
Hello应助liz采纳,获得80
7秒前
9秒前
页一成发布了新的文献求助10
9秒前
Lucas应助栀璃鸳挽采纳,获得10
10秒前
小柴虎完成签到,获得积分10
10秒前
10秒前
10秒前
熊佳晖发布了新的文献求助10
10秒前
bin_zhang发布了新的文献求助10
11秒前
花鸢完成签到,获得积分10
13秒前
WAN完成签到,获得积分10
13秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 6479284
求助须知:如何正确求助?哪些是违规求助? 8280538
关于积分的说明 17661444
捐赠科研通 5561878
什么是DOI,文献DOI怎么找? 2911396
邀请新用户注册赠送积分活动 1888408
关于科研通互助平台的介绍 1742449