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arXiv 2308.00534cond-mat.soft
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分级结构表面增强疏水(亚稳态)状态的接触角

Hierarchical structured surfaces enhance the contact angle of the hydrophobic (meta-stable) state

Iara Patrícia da Silva Ramos, Cristina Gavazzoni, Davi Lazzari, Carolina Brito

AI总结:

针对分形表面润湿性质与几何参数关系的争议,本文提出分级结构表面上水滴润湿的理论模型,并用3-spin Potts模拟证明自相似层级增大会提高接触角并增强亚稳态,而分形维数不能有效预测接触角。

摘要:

文献中广泛讨论了分形表面的润湿性质与几何参数之间的关系,然而这一主题仍存在分歧。在此,我们提出一个简单的理论模型,用以描述置于分级结构表面上的水滴的润湿性质,并利用3-spin Potts模型的模拟来检验该模型的预测以及液滴润湿状态对初始条件的依赖。我们表明,提高分级结构的自相似层级——称为$n$——不会显著影响液滴的稳定润湿状态,但会增大其接触角。模拟还明确显示了此类表面上存在亚稳态,并表明当$n$增大时,亚稳态会变得更加显著。最后,我们表明表面的分形维数并不是液滴接触角的良好预测指标。

英文摘要:

The relation between wetting properties and geometric parameters of fractal surfaces are widely discussed on the literature and, however, there are still divergences on this topic. Here we propose a simple theoretical model to describe the wetting properties of a droplet of water placed on a hierarchical structured surface and test the predictions of the model and the dependence of the droplet wetting state on the initial conditions using simulation of the 3-spin Potts model. We show that increasing the auto-similarity level of the hierarchy -- called $n$ -- does not affect considerably the stable wetting state of the droplet but increases its contact angle. Simulations also explicit the existence of metastable states on this type of surfaces and shows that, when $n$ increases, the metastability becomes more pronounced. Finally we show that the fractal dimension of the surface is not a good predictor of the contact angle of the droplet.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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