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Issue 22, 2016
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Drag reduction on laser-patterned hierarchical superhydrophobic surfaces

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Abstract

Hierarchical laser-patterned surfaces were tested for their drag reduction abilities. A tertiary level of surface roughness which supports stable Cassie wetting was achieved on the patterned copper samples by laser-scanning multiple times. The laser-fabricated micro/nano structures sustained the shear stress in liquid flow. A rheometer setup was used to measure the drag reduction abilities in term of slip lengths on eight different samples. A considerable increase in slip length (111% on a grate sample) was observed on these surfaces compared to the slip length predictions from the theoretical and the experimental models for the non-hierarchical surfaces. The increase in slip lengths was correlated to the secondary level of roughness observed on the patterned samples. The drag reduction abilities of three different arrangements of the surface features were also compared: posts in a square lattice, parallel grates, and posts in a hexagonal lattice. Although the latter facilitates a stable Cassie state, it nevertheless resulted in a lower normalized slip length compared to the other two arrangements at a similar solid fraction. Furthermore, we coated the laser-patterned surfaces with a silane to test the effect of surface chemistry on drag reduction. While the contact angles were surprisingly similar for both the non-silanized and the silanized samples, we observed higher slip lengths on the latter, which we were able to explain by measuring the respective penetration depths of the liquid–vapour interface between surface features.

Graphical abstract: Drag reduction on laser-patterned hierarchical superhydrophobic surfaces

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Publication details

The article was received on 19 Feb 2016, accepted on 29 Apr 2016 and first published on 29 Apr 2016


Article type: Paper
DOI: 10.1039/C6SM00436A
Citation: Soft Matter, 2016,12, 4912-4922
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    Drag reduction on laser-patterned hierarchical superhydrophobic surfaces

    K. M. Tanvir Ahmmed and A. Kietzig, Soft Matter, 2016, 12, 4912
    DOI: 10.1039/C6SM00436A

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