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受满江红启发的表面的制造,通过毛细力诱导的聚集实现流体动力阻力的减少。

Fabrication of Salvinia-inspired surfaces for hydrodynamic drag reduction by capillary-force-induced clustering.

机构信息

Department of Mechanical Engineering, Kyungpook National University, Daegu, 41566, Republic of Korea.

Department of Mechanical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.

出版信息

Nat Commun. 2022 Sep 2;13(1):5181. doi: 10.1038/s41467-022-32919-4.

Abstract

For decades, bioinspired functional materials have been attracting the interest of many researchers for their remarkable characteristics. In particular, some plant leaves are well known for their inherent superhydrophobic nature. Salvinia molesta, a free-floating aquatic fern, has egg-beater-shaped hierarchical trichomes on its surface of leaves. Due to the unique structure and complex wettability of the hairs, this plant has the ability to maintain a stable thick air layer upon the structure when it is submerged underwater. Often referred to as the "Salvinia Effect," this property is expected to be suitable for use in hydrodynamic drag reduction. However, due to the complex shape of the trichome, currently applied fabrication methods are using a three-dimensional printing system, which is not applicable to mass production because of its severely limited productivity. In this work, artificial Salvinia leaf inspired by S. molesta was fabricated using a conventional soft lithography method assisted with capillary-force-induced clustering of micropillar array. The fabrication method suggested in this work proposes a promising strategy for the manufacturing of Salvinia-inspired hydrodynamic drag reduction surfaces.

摘要

几十年来,仿生功能材料以其显著的特性吸引了众多研究人员的兴趣。特别是,一些植物叶子因其固有的超疏水性而闻名。满江红是一种自由漂浮的水生蕨类植物,其叶子表面具有打蛋器形状的分层刚毛。由于毛发的独特结构和复杂的润湿性,当这种植物被淹没在水下时,它有能力在结构上保持稳定的厚气层。这种特性通常被称为“满江红效应”,有望适用于水动力减阻。然而,由于刚毛的复杂形状,目前应用的制造方法是使用三维打印系统,由于其生产能力严重受限,因此不适用于大规模生产。在这项工作中,使用常规的软光刻方法并借助毛细力诱导的微柱阵列聚类来制造受满江红启发的人工叶子。这项工作中提出的制造方法为制造受满江红启发的水动力减阻表面提供了一种有前途的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa00/9440115/f04efe85a185/41467_2022_32919_Fig1_HTML.jpg

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