Beitollahpoor Mohamadreza, Farzam Melika, Pesika Noshir S
Chemical and Biomolecular Engineering Department, Tulane University, New Orleans, Louisiana 70118, United States.
Langmuir. 2022 Feb 15;38(6):2132-2136. doi: 10.1021/acs.langmuir.1c03206. Epub 2022 Feb 1.
Superhydrophobic surfaces have attracted considerable attention because of their unique water-repellency and their wide range of applications. The conventional method to characterize the surface wetting properties of surfaces, including superhydrophobic surfaces, relies on measuring static and dynamic contact angles, and sliding angles of water drops. However, because of the inhomogeneities inherently present on surfaces (smooth and textured), such optical methods can result in relatively large variability in sliding angle measurements. In this work, by using a force-based technique with ±1 μN sensitivity, the friction force between water drops and various surfaces is measured. The friction force can then be used to accurately predict the sliding angle of water drops of various sizes with improved consistency. We also show that the measured friction force can be used to determine the critical drop size below which a water drop is not expected to slide even at a tilt angle of 90°. The proposed technique to characterize the wetting properties of surfaces has a higher accuracy (between 15% and 65%, depending on the surface) compared to optical methods.
超疏水表面因其独特的拒水性及其广泛的应用而备受关注。表征包括超疏水表面在内的表面的表面润湿性的传统方法依赖于测量水滴的静态和动态接触角以及滑动角。然而,由于表面(光滑和有纹理的)固有存在的不均匀性,这种光学方法可能导致滑动角测量中存在相对较大的变异性。在这项工作中,通过使用具有±1 μN灵敏度的基于力的技术,测量了水滴与各种表面之间的摩擦力。然后,该摩擦力可用于以更高的一致性准确预测各种尺寸水滴的滑动角。我们还表明,所测量的摩擦力可用于确定临界液滴尺寸,低于该尺寸时,即使在90°倾斜角下,水滴也预计不会滑动。与光学方法相比,所提出的表征表面润湿性的技术具有更高的准确性(根据表面不同,在15%至65%之间)。