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Modeling drag reduction and meniscus stability of superhydrophobic surfaces comprised of random roughness

机译:模拟由随机粗糙度组成的超疏水表面的减阻和弯月面稳定性

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Previous studies dedicated to modeling drag reduction and stability of the air-water interface on superhydrophobic surfaces were conducted for microfabricated coatings produced by placing hydrophobic microposts/microridges arranged on a flat surface in aligned or staggered configurations. In this paper, we model the performance of superhydrophobic surfaces comprised of randomly distributed roughness (e.g., particles or microposts) that resembles natural superhydrophobic surfaces, or those produced via random deposition of hydrophobic particles. Such fabrication method is far less expensive than microfabrication, making the technology more practical for large submerged bodies such as submarines and ships. The present numerical simulations are aimed at improving our understanding of the drag reduction effect and the stability of the air-water interface in terms of the microstructure parameters. For comparison and validation, we have also simulated the flow over superhydrophobic surfaces made up of aligned or staggered microposts for channel flows as well as streamwise or spanwise ridges configurations for pipe flows. The present results are compared with theoretical and experimental studies reported in the literature. In particular, our simulation results are compared with work of Sbragaglia and Prosperetti, and good agreement has been observed for gas fractions up to about 0.9. The numerical simulations indicate that the random distribution of surface roughness has a favorable effect on drag reduction, as long as the gas fraction is kept the same. This effect peaks at about 30% as the gas fraction increases to 0.98. The stability of the meniscus, however, is strongly influenced by the average spacing between the roughness peaks, which needs to be carefully examined before a surface can be recommended for fabrication. It was found that at a given maximum allowable pressure, surfaces with random post distribution produce less drag reduction than those made up of staggered posts.
机译:以前的研究致力于对超疏水表面上的减阻和空气-水界面的稳定性进行建模,以研究通过将疏水性微柱/微脊以对齐或交错的方式排列在平坦表面上所产生的微细涂层。在本文中,我们对超疏水表面的性能进行建模,该表面由类似于天然超疏水表面的随机分布的粗糙度(例如,颗粒或微柱)组成,或者是通过随机沉积疏水颗粒而产生的。这种制造方法远比微型制造便宜,这使得该技术对大型潜艇如潜艇和舰船更加实用。目前的数值模拟旨在提高我们对减阻效果和空气-水界面稳定性的微观结构参数的理解。为了进行比较和验证,我们还模拟了超疏水表面上的流动,该表面由用于通道流动的对齐或交错的微柱以及用于管道流的顺流或展向脊构型组成。将当前结果与文献中报道的理论和实验研究进行比较。特别地,我们的模拟结果与Sbragaglia和Prosperetti的工作进行了比较,并且对于高达0.9左右的气体馏分已经观察到了很好的一致性。数值模拟表明,只要气体含量保持不变,表面粗糙度的随机分布都会对减阻产生有利的影响。当气体含量增加到0.98时,此效应在约30%达到峰值。但是,弯月面的稳定性受粗糙度峰之间平均间距的强烈影响,在推荐将其用于制造表面之前,需要仔细检查该间距。结果发现,在给定的最大允许压力下,具有随机柱分布的表面所产生的减阻作用要小于由交错柱构成的表面。

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