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人工超疏水表面的自清洁效率

Self-cleaning efficiency of artificial superhydrophobic surfaces.

作者信息

Bhushan Bharat, Jung Yong Chae, Koch Kerstin

机构信息

Nanoprobe Laboratory for Bio- and Nanotechnology and Biomimetics (NLBB), The Ohio State University, 201 West 19th Avenue Columbus, Ohio 43210-1142, USA.

出版信息

Langmuir. 2009 Mar 3;25(5):3240-8. doi: 10.1021/la803860d.

Abstract

The hierarchical structured surface of the lotus (Nelumbo nucifera, Gaertn.) leaf provides a model for the development of biomimetic self-cleaning surfaces. On these water-repellent surfaces, water droplets move easily at a low inclination of the leaf and collect dirt particles adhering to the leaf surface. Flat hydrophilic and hydrophobic, nanostructured, microstructured, and hierarchical structured superhydrophobic surfaces were fabricated, and a systematic study of wettability and adhesion properties was carried out. The influence of contact angle hysteresis on self-cleaning by water droplets was studied at different tilt angles (TA) of the specimen surfaces (3 degrees for Lotus wax, 10 degrees for n-hexatriacontane, as well as 45 degrees for both types of surfaces). At 3 degrees and 10 degrees TA, no surfaces were cleaned by moving water applied onto the surfaces with nearly zero kinetic energy, but most particles were removed from hierarchical structured surfaces, and a certain amount of particles were captured between the asperities of the micro- and hierarchical structured surfaces. After an increase of the TA to 45 degrees (larger than the tilt angles of all structured surfaces), as usually used for industrial self-cleaning tests, all nanostructured surfaces were cleaned by water droplets moving over the surfaces followed by hierarchical and microstructures. Droplets applied onto the surfaces with some pressure removed particles residues and led to self-cleaning by a combination of sliding and rolling droplets. Geometrical scale effects were responsible for superior performance of nanostructured surfaces.

摘要

荷叶(莲,Nelumbo nucifera,Gaertn.)的分层结构表面为仿生自清洁表面的开发提供了一个模型。在这些疏水表面上,水滴在叶片低倾斜度时容易移动,并收集附着在叶片表面的污垢颗粒。制备了平坦的亲水和疏水、纳米结构、微结构以及分层结构的超疏水表面,并对润湿性和粘附性能进行了系统研究。在试样表面不同倾斜角度(TA)下研究了接触角滞后对水滴自清洁的影响(荷叶蜡为3度,正三十六烷为10度,两种表面均为45度)。在3度和10度TA时,几乎零动能施加到表面的流动水无法清洁任何表面,但大多数颗粒从分层结构表面被去除,并且在微结构和分层结构表面的粗糙处之间捕获了一定量的颗粒。将TA增加到45度(大于所有结构化表面的倾斜角度)后,如工业自清洁测试通常所采用的那样,所有纳米结构表面都被在其表面移动的水滴清洁,随后是分层结构和微结构表面。以一定压力施加到表面的水滴去除了颗粒残留物,并通过滑动和滚动水滴的组合实现了自清洁。几何尺度效应是纳米结构表面优异性能的原因。

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