Efficient fog harvesting on metal surfaces with venation-inspired wetting patterns fabricated via laser-based maskless approach

Avik Samanta; Wuji Huang; Hongtao Ding

doi:10.1016/j.jmapro.2023.05.045

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Efficient fog harvesting on metal surfaces with venation-inspired wetting patterns fabricated via laser-based maskless approach

Journal article

Peer reviewed

Efficient fog harvesting on metal surfaces with venation-inspired wetting patterns fabricated via laser-based maskless approach

Avik Samanta, Wuji Huang and Hongtao Ding

Journal of manufacturing processes, Vol.98, pp.351-356

07/28/2023

DOI: 10.1016/j.jmapro.2023.05.045

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Abstract

The issue of global freshwater scarcity has become more pressing as climate change effects intensify. Fog harvesting has emerged as a sustainable and promising solution to address this problem, and wettability-patterned surfaces have shown potential in enhancing fog harvesting efficiency. In this study, two venation-like surface wetting patterns, i.e., the broadleaf and coniferous tree patterns, were directly fabricated on an aluminum alloy (AA6061) using a laser-assisted functionalization method, which offers greater flexibility in creating innovative patterns without the need for a mask. The superhydrophobic region featured low-roughness, isotropic, random nanostructures, while the superhydrophilic regions consisted of highly structured porous microchannels. The resulting surface patterns demonstrated a significant increase of up to 100 % in fog harvesting capability compared to the untreated surface. By adjusting the number of leaves, the fog harvesting efficiency of the venation-like patterns can be further improved while maintaining the same energy investment.

Bioinspired

Fog harvesting

Laser surface texturing

Venation-like pattern

Wettability pattern

Details

Title: Subtitle: Efficient fog harvesting on metal surfaces with venation-inspired wetting patterns fabricated via laser-based maskless approach
Creators: Avik Samanta - Pacific Northwest National Laboratory
Wuji Huang - University of Iowa
Hongtao Ding - University of Iowa
Resource Type: Journal article
Publication Details: Journal of manufacturing processes, Vol.98, pp.351-356
Publisher: Elsevier Ltd
DOI: 10.1016/j.jmapro.2023.05.045
ISSN: 1526-6125
eISSN: 2212-4616
Grant note: DOI: 10.13039/100000001, name: National Science Foundation, award: CMMI-1762353
Language: English
Date published: 07/28/2023
Academic Unit: Mechanical Engineering
Record Identifier: 9984410789002771

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