Nano to micro structural hierarchy is crucial for stable superhydrophobic and water-repellent surfaces

Yewang Su;葆华 季;Kai Zhang;华健 高;永刚 黄;Kehchih Hwang

Tsinghua University;China Association for Science and Technology

发表时间:2010-4-6

期 刊:Langmuir

语 言:English

U R L: http://www.scopus.com/inward/record.url?scp=77950575468&partnerID=8YFLogxK

摘要

Water-repellent biological systems such as lotus leaves and water strider's legs exhibit two-level hierarchical surface structures with the smallest characteristic size on the order of a few hundreds nanometers. Here we show that such nano to micro structural hierarchy is crucial for a superhydrophobic and water-repellent surface. The first level structure at the scale of a few hundred nanometers allows the surface to sustain the highest pressure found in the natural environment of plants and insects in order to maintain a stable Cassie state. The second level structure leads to dramatic reduction in contact area, hence minimizing adhesion between water and the solid surface. The two level hierarchy further stabilizes the superhydrophobic state by enlarging the energy difference between the Cassie and the Wenzel states. The stability of Cassie state at the nanostructural scale also allows the higher level structures to restore superhydrophobicity easily after the impact of a rainfall.

相关科学

化学
电化学
光谱学
材料科学
物理学和天文学
凝聚态物理学
表面与界面

文献指纹

物理与天文学

surface water

hierarchies

water

insects

leaves

solid surfaces

adhesion

expansion

energy

化合物

Water

Surface structure

Biological systems

Rain

Adhesion

工程与材料科学

Water

Surface structure

Biological systems

Rain

Adhesion

被引量

期刊度量

Scopus度量

年份 CiteScore SJR SNIP
1996
1997
1998
1999 1.638 1.447
2000 1.984 1.438
2001 2.038 1.333
2002 2.035 1.449
2003 2.013 1.398
2004 1.979 1.446
2005 2.19 1.449
2006 2.392 1.413
2007 2.473 1.411
2008 2.389 1.307
2009 2.164 1.333
2010 2.158 1.384
2011 7 2.051 1.341
2012 7.4 2.179 1.359
2013 8 1.896 1.331
2014 7.8 1.81 1.363
2015 7.9 1.65 1.276
2016 7.3 1.559 1.169
2017 6.9 1.479 1.136
2018 6.2 1.209 1.047
2019 6.1 1.088 1.022
2020 5.7

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