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Research Article

Self-cleaning of superhydrophobic nanostructured surfaces at low humidity enhanced by vertical electric field

Yijie Liu1Yujun Guo1( )Xueqin Zhang1Guoqiang Gao1Chaoqun Shi1Guizao Huang1Pengli Li2Qi Kang2Xingyi Huang2( )Guangning Wu1( )
College of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China
Department of Polymer Science and Engineering, Shanghai Key Laboratory of Electrical Insulation and Thermal Ageing, State Key laboratory of Metal Matrix Composites, Shanghai Jiaotong University, Shanghai 200240, China
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Graphical Abstract

This paper realized the self-cleaning of superhydrophobic nanostructured surfaces above the dew point curve for the first time with the assistance of an electric field.

Abstract

Self-cleaning is the key factor that makes superhydrophobic nanostructured materials have wide applications. The self-cleaning effect, however, strongly depends on formations and movement of water droplets on superhydrophobic nanostructured surfaces, which is greatly restricted at low humidity (< 7.6 g·kg−1). Therefore, we propose a self-cleaning method at low humidity in which the pollution is electro-aggregated and driven in the electric field to achieve the aggregation and cleaning large areas. The cleaning efficiency of this method is much higher than that of water droplet roll-off, and will not produce “pollution bands”. A simplified numerical model describing pollution movements is presented. Simulation results are consistent with experimental results. The proposed method realizes the self-cleaning of superhydrophobic nanostructured surfaces above dew point curve for the first time, which extends applications of superhydrophobic nanostructured materials in low humidity, and is expected to solve self-cleaning problems of outdoor objects in low humidity areas (< 5.0 g·kg−1).

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Nano Research
Pages 4732-4738
Cite this article:
Liu Y, Guo Y, Zhang X, et al. Self-cleaning of superhydrophobic nanostructured surfaces at low humidity enhanced by vertical electric field. Nano Research, 2022, 15(5): 4732-4738. https://doi.org/10.1007/s12274-022-4093-0
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Received: 05 December 2021
Revised: 17 December 2021
Accepted: 21 December 2021
Published: 08 February 2022
© Tsinghua University Press 2022
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