2021
DOI: 10.1021/acsomega.0c05776
|View full text |Cite
|
Sign up to set email alerts
|

Three-Dimensional Multilayer Vertical Filament Meshes for Enhancing Efficiency in Fog Water Harvesting

Abstract: Novel types of vertical filament mesh (VFM) fog harvesters, 3D VFM fog harvesters, and multilayer 3D VFM fog harvesters were developed by mimicking the water-harvesting nature of desert beetles and the spider silks from fog. Four different types of polymer filaments with different hydrophilic–hydrophobic properties were used. The polymer filaments were modified with the polyurethane–sodium alginate (PU–SA) mixture solution, and a simple spraying method was used to form alternating 3D PU–SA microbumps. Polymer … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

3
20
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 32 publications
(23 citation statements)
references
References 63 publications
3
20
0
Order By: Relevance
“…A thin film easily formed on the filament surface, leading to a decrease in droplet capturing areas (ability condensation). 29 Figures 3a1−d1 and S13 (Supplementary Discussion 8) show the simulated filament clusters (modified filament surface similar to A-Tree 3D@SF, B-Tree 3D@SF, C-Tree 3D@SF and 3D@SF). Droplet shapes on the surfaces of highly hydrophobic filaments of A-Tree 3D@SF and B-Tree 3D@SF were more rounded compared to those on the C-Tree 3D@SF and 3D@SF surfaces.…”
Section: Effects Of Tree 3d@sf Structure On Droplet Growth and Drople...mentioning
confidence: 92%
See 2 more Smart Citations
“…A thin film easily formed on the filament surface, leading to a decrease in droplet capturing areas (ability condensation). 29 Figures 3a1−d1 and S13 (Supplementary Discussion 8) show the simulated filament clusters (modified filament surface similar to A-Tree 3D@SF, B-Tree 3D@SF, C-Tree 3D@SF and 3D@SF). Droplet shapes on the surfaces of highly hydrophobic filaments of A-Tree 3D@SF and B-Tree 3D@SF were more rounded compared to those on the C-Tree 3D@SF and 3D@SF surfaces.…”
Section: Effects Of Tree 3d@sf Structure On Droplet Growth and Drople...mentioning
confidence: 92%
“…This is positive for quick formation of large droplets on the filament surface at the bump area (Figures 2a, 5c, and 5e). The F Laplace force is based on eq 1: 29,58…”
Section: Effects Of Tree 3d@sf Structure On Droplet Growth and Drople...mentioning
confidence: 99%
See 1 more Smart Citation
“…Fog is a natural freshwater resource, and it is difficult to capture and use, which limits people's research [ 2 , 3 , 4 ]. There are many creatures in nature that have interesting structures to collect and transport moisture in the moist air, such as the back of a desert beetle with a hydrophilic-hydrophobic mixed mode, cactus spines with a multi-directional branching structure also show the ability to collect fog water, and spider webs also has the amazing ability to collect micro-droplets and be able to guide the automatic transmission of the micro-droplets [ 5 , 6 , 7 , 8 , 9 ]. The researchers found that there are periodically arranged spindle structures on the spider silk.…”
Section: Introductionmentioning
confidence: 99%
“…Hierarchical structures are effective in realizing smart biological behavior in nature by implementing or reinforcing various surface functionalities, such as self-cleaning, antireection, antibiofouling, water harvesting, structural color, and drag reduction. 1,2 These amazing properties enabled by hierarchical structures can be observed in the lotus leaf, [3][4][5][6] pitcher plant, [7][8][9][10][11] moth eye, [12][13][14][15][16] buttery wings, 17 cicada wings, 18 Namib desert beetle's back, [19][20][21] and shark skin. [22][23][24][25] In particular, the introduction of a hierarchical nanostructure on transparent surfaces can lead to signicant performance enhancement for the developing applications such as the cover glass of photovoltaics, building and car windows and lenses of optical sensors.…”
Section: Introductionmentioning
confidence: 99%