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首页> 外文期刊>Langmuir: The ACS Journal of Surfaces and Colloids >Self-Cleaning of Hydrophobic Rough Surfaces by Coalescence-Induced Wetting Transition
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Self-Cleaning of Hydrophobic Rough Surfaces by Coalescence-Induced Wetting Transition

机译:聚结诱导的润湿过渡自清洁疏水性粗糙表面

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The superhydrophobic leaves of a lotus plant and other natural surfaces with self-cleaning function have been studied intensively for the development of artificial biomimetic surfaces. The surface roughness generated by hierarchical structures is a crucial property required for superhydrophobicity and self-cleaning. Here, we demonstrate a novel self-cleaning mechanism of textured surfaces attributed to a spontaneous coalescence-induced wetting transition. We focus on the wetting transition as it represents a new mechanism, which can explain why droplets on rough surfaces are able to change from the highly adhesive Wenzel state to the low adhesion Cassie-Baxter state and achieve self-cleaning. In particular, we perform many-body dissipative particle dynamics simulations of liquid droplets (with a diameter of 89 mu m) sitting on mechanically textured substrates. We quantitatively investigate the wetting behavior of an isolated droplet as well as coalescence of droplets for both Cassie-Baxter and Wenzel states. Our simulation results reveal that droplets in the Cassie-Baxter state have much lower contact angle hysteresis and smaller hydrodynamic resistance than droplets in the Wenzel state. When small neighboring droplets coalesce into bigger ones on textured hydrophobic substrates, we observe a spontaneous wetting transition from the Wenzel state to the Cassie-Baxter state, which is powered by the surface energy released upon coalescence of the droplets. For superhydrophobic surfaces, the released surface energy may be sufficient to cause a jumping motion of droplets off the surface, in which case adding one more droplet to the coalescence may increase the jumping velocity by one order of magnitude. When multiple droplets are involved, we found that the spatial distribution of liquid components in the coalesced droplet can be controlled by properly designing the overall arrangement of droplets and the distance between them. These findings offer new insights for design
机译:莲花植物的超疏水叶和其他具有自清洁功能的自然表面的叶子,以积极研究人工仿生表面的发展。由等级结构产生的表面粗糙度是超疏水性和自清洁所需的关键性能。在这里,我们展示了纹理表面的新型自清洁机制,其归因于自发的聚结诱导的润湿转变。我们专注于润湿过渡,因为它代表了一种新机制,可以解释为什么粗糙表面上的液滴能够从高粘合的温革态变为低粘附的Cassie-Baxter状态并实现自清洁。特别是,我们执行坐在机械纹理的基板上的液滴(直径为89μm)的许多身体耗散粒子动力学模拟。我们定量研究了孤立液滴的润湿行为以及Cassie-Baxter和Wenzel状态的液滴的聚结。我们的仿真结果表明,卡西 - Baxter状态下的液滴具有远低于温革状态中液滴的接触角滞后和较小的流体动力学电阻。当小邻液滴聚结在纹理疏水基板上的更大的液滴中时,我们观察到从温革态到Cassie-Baxter状态的自发润湿过渡,这由在液滴聚结时释放的表面能动力。对于超疏水表面,释放的表面能可以足以使液滴从表面上跳跃运动,在这种情况下,将再加上一个液滴添加到聚结的情况下可以通过一个级别增加跳跃速度。当涉及多个液滴时,我们发现可以通过适当地设计液滴的整体排列和它们之间的距离来控制聚结液滴中的液体组分的空间分布。这些调查结果为设计提供了新的见解

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