We report the development and application of a refined version of the classical Cassie-Baxter wetting model for the prediction of surface topographies with superomniphobic traits. The sagging height defined through the capillary length was utilized to assess the relation between a curved liquid-air interface and the surface texture. The wettability, expressed in terms of the static apparent contact angle, was quantified for single- and double-scale surface topographies and for three representative liquids and the results were compared to those of the classical Cassie-Baxter model. Of the three single-scale topographies considered in this work, the fiber case exhibited the highest contact angle across length scales of surface topographies, whereas decreasing the length scale of surface patterns from a few hundreds of micrometers to a few hundreds of nanometers led to contact angle increase by 15%–20%. A generic expression for modeling multiscale hierarchical roughness of arbitrar...

中文翻译：

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预测具有超疏水特性的生物启发候选表面

我们报告发展和应用的经典Cassie-Baxter润湿模型的改进版本，用于预测具有超憎水性的表面形貌。通过毛细管长度定义的下垂高度用于评估弯曲的液体-空气界面与表面纹理之间的关系。以静态表观接触角表示的可湿性，对单刻度和双刻度表面形貌以及三种代表性液体进行了定量，并将结果与​​经典的Cassie-Baxter模型进行了比较。在这项工作中考虑的三个单比例尺形貌中，纤维盒在表面形貌的整个长度尺度上表现出最大的接触角，而将表面图案的长度比例从几百微米减小到几百纳米，则导致接触角增加了15％–20％。建模仲裁员多尺度层次粗糙度的通用表达式...