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The verification of icephobic performance on biomimetic superhydrophobic surfaces and the effect of wettability and surface energy

机译:仿生超疏水表面的憎冰性能验证以及润湿性和表面能的影响

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The fundamental understanding of the icephobic performance of two model superhydrophobic surfaces (lotus and petal surfaces) is important for many industrial applications. The effect of wettability and surface energy on ice adhesion has recently received attention. However, the verification of icephobicity is typically carried out with a single observation method. For this study, rough modified rod-coated surfaces, structured polymer surfaces and nine smooth surfaces with tunable wettability were fabricated. Combining several observation techniques of icephobicity indicate that petal and lotus surfaces lose their superhydrophobicity, being less useful for ice repellency due to poor humidity tolerance in condensation conditions. The ice adhesion of rough surfaces enhanced with increasing hydrophobicity. The increased interface area leads to a reduction of the icephobic performance. The stress concentrator on the lotus surface was better than on the petal surface. In addition, the role of dynamic wettability on ice adhesion was checked. Smooth hydrophobic surfaces were found to be better icephobic materials compared to rough surfaces. The intrinsic surface energy of smooth surfaces is significantly linear with the ice adhesion. High freezing delay times were found for smooth low-density polyethylene resin and fluorinated surfaces.
机译:对两个模型超疏水表面(莲花和花瓣表面)的憎冰性能的基本了解对于许多工业应用很重要。润湿性和表面能对冰附着的影响最近受到关注。但是,疏冰性的验证通常使用一种观察方法进行。为了进行这项研究,制造了粗糙的改性杆涂表面,结构化聚合物表面和九个具有可调润湿性的光滑表面。结合几种憎冰性的观察技术,表明花瓣和莲花的表面失去了超疏水性,由于凝结条件下的耐湿性差,因此难以用于拒冰性。粗糙表面的冰附着力随着疏水性的增加而增强。增大的界面面积导致疏冰性能降低。莲花表面的应力集中器比花瓣表面的应力集中器好。另外,检查了动态润湿性对冰粘附的作用。与粗糙表面相比,发现光滑的疏水表面是更好的憎冰材料。光滑表面的固有表面能与冰的附着力呈显着线性关系。对于光滑的低密度聚乙烯树脂和氟化表面,发现了较高的冷冻延迟时间。

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