用柔性悬臂进行液滴目标抛投

Droplet Pub Date : 2023-06-25 DOI:10.1002/dro2.72
Wei Fang, Shun Wang, Hu Duan, Shahid Ali Tahir, Kaixuan Zhang, Lixia Wang, Xi-Qiao Feng, Meirong Song
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引用次数: 3

摘要

控制液滴撞击固体表面的定向反弹对于许多农业和工业应用至关重要。然而,对于雨滴对植物叶片的普遍撞击过程,人们对高度耦合和复杂的流体-结构相互作用如何控制液滴的撞击后运动并赋予叶片顽强的生命力知之甚少。在这里,我们报道了一种叶子状的超疏水悬臂,它可以灵活地反弹液滴,具有明确的方向性和可控性。通过理论建模和三维流固耦合模拟,我们发现柔性悬臂显著减轻了雨滴的冲击力,减少了液滴破碎,增强了拒水性。结果进一步揭示了液滴反弹方向与韦伯数和悬臂刚度的比例关系。通过这项技术,液滴看似杂乱无章的撞击后运动是可编程和可预测的,从而实现了自动指向何处和撞击何处的目标。这项工作促进了对自然液滴撞击现象的理解,为用软材料精细控制液体在太空中的运动开辟了一条新途径,并激发了软机器人等大量应用,如运输材料和能量、监测植物生长以及预测病原体在植物中的传播。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Target slinging of droplets with a flexible cantilever

Target slinging of droplets with a flexible cantilever

Control of the directional bounce of droplets impacting solid surfaces is crucial for many agricultural and industrial applications. However, for the universal impact process of raindrops on plant leaves, little is known about how the highly coupled and complicated fluid–structure interaction controls the postimpact motion of droplets and endows the leaves with tenacious vitality. Here, we report a leaf-like superhydrophobic cantilever to flexibly bounce droplets with well-defined directionality and controllability. Through theoretical modeling and three-dimensional fluid–solid coupling simulations, we find that the flexible cantilever significantly relieves the impacting forces of raindrops to reduce droplet fragmentation and enhance water repellency. The results further uncover the scaling relations of the droplet bouncing direction with respect to Weber number and cantilever stiffness. By this technique, the seemed disorganized postimpact movements of droplets are programmable and predictable, achieving the goal of where to point and where to hit automatically. This work advances the understanding of natural droplet impact phenomena, opens a new avenue for delicately controlling liquid motion in space with soft materials, and inspires a plethora of applications like soft robots to transport materials and energies, monitor plant growth as well as predict pathogen transmission in plants.

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CiteScore
6.60
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