Superhydrophobic surfaces are frequent subject of research due to their exceptional properties, such as self-cleaning and water repellency. Their applications are used in various fields such as automotive, aerospace, medical, electronics, textile and construction. As part of the thesis, we built an experimental setup for evaluating the robustness of superhydrophobic surfaces when the pressure in liquid is increased by compressing a water droplet between two surfaces. In the MATLAB development environment, we developed an image processing algorithm, which was used to determine the magnitude of the pressure in the droplet by considering the geometry of the compressed droplet. To perform the measurements, we used copper superhydrophobic surfaces, which were produced by laser structuring and subsequent application of the hydrophobic agent FDPA. By measuring the size of the pressure force and determining the size of the pressure during the compression of drops of different volumes between two identical surfaces, we evaluated the influence of the initial droplet size. We found that, due to the smaller contact surface with the substrate, a greater pressure is created in smaller drops than in comparison with larger drops at the same magnitude of pressure force or displacement of the surface.
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