Patankar Neelesh A
Department of Mechanical Engineering, Northwestern University, 2145 Sheridan Road, B224, Evanston, Illinois 60208-3111, USA.
Langmuir. 2004 Sep 14;20(19):8209-13. doi: 10.1021/la048629t.
Surface roughness is known to amplify hydrophobicity. The apparent contact angle of a drop on a rough surface is often modeled using either Wenzel's or Cassie's formulas. These formulas, along with an appropriate energy analysis, are critical in designing superhydrophobic substrates for applications in microscale devices. In this paper we propose that double (or multiple) roughness structures or slender pillars are appropriate surface geometries to develop "self-cleaning" surfaces. The key motivation behind the double structured roughness is to mimic the microstructure of superhydrophobic leaves (such as lotus). Theoretical analysis similar to that presented in the paper can be used to obtain optimal geometric parameters for the rough surface. The calculation procedure should result in surface geometries with excellent water repellent properties.
众所周知,表面粗糙度会增强疏水性。液滴在粗糙表面上的表观接触角通常使用文泽尔公式或卡西公式进行建模。这些公式,连同适当的能量分析,对于设计用于微尺度设备的超疏水基底至关重要。在本文中,我们提出双(或多)粗糙度结构或细长柱体是开发“自清洁”表面的合适表面几何形状。双结构粗糙度背后的关键动机是模仿超疏水叶片(如荷叶)的微观结构。类似于本文中提出的理论分析可用于获得粗糙表面的最佳几何参数。计算过程应得出具有优异疏水性能的表面几何形状。