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Simulation of meniscus stability in superhydrophobic granular surfaces under hydrostatic pressures

机译:静水压力下超疏水颗粒表面弯液面稳定性的模拟

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In this work, a series of numerical simulations has been devised to study the performance of granular superhydrophobic surfaces under elevated hydrostatic pressures. Using balance of forces, an analytical expression has also been developed to predict the critical pressure at which a submersed idealized granular superhydrophobic surface comprised of spherical particles, orderly packed next to one another, departs from the Cassie state. Predictions of our analytical expression have been compared with those of a series of 3-D full-morphology numerical simulations, and reasonable agreement has been observed between the two methods. Full-morphology simulations were then used, for the first time, to compute the critical pressure of superhydrophobic surfaces comprised of randomly distributed spherical particles (e.g., superhydrophobic coatings developed by depositing of hydrophobic aerogel particles), where no analytical method is applicable due to the complexity of the coatings' morphology. Results of our numerical simulations indicate that for coatings made up of mono-disperse hydrophobic particles, critical pressure increases with increasing the solid volume fraction. However, increasing particle diameter results in lower critical pressures when the coating's solid volume fraction is held constant.
机译:在这项工作中,已经设计了一系列数值模拟来研究粒状超疏水表面在升高的静水压力下的性能。利用力的平衡,还开发了一种解析表达式来预测临界压力,在该临界压力下,由球形颗粒组成的浸没在理想状态的粒状超疏水表面从卡西状态出发,该球形颗粒彼此相邻有序堆积。我们的分析表达式的预测已与一系列3-D全形态数值模拟的预测结果进行了比较,并且在两种方法之间已观察到合理的一致性。然后,首次使用全形态模拟来计算由随机分布的球形颗粒(例如,通过沉积疏水气凝胶颗粒形成的超疏水涂层)组成的超疏水表面的临界压力,但由于涂层形态的复杂性。我们的数值模拟结果表明,对于由单分散疏水性颗粒组成的涂料,临界压力随固体体积分数的增加而增加。但是,当涂料的固体体积分数保持恒定时,增加粒径会导致较低的临界压力。

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