Jian Hui Guan
Drop transport and positioning on lubricant-impregnated surfaces
Hui Guan, Jian; Ruiz-Gutiérrez, Élfego; Xu, Ben Bin; Wood, David; McHale, Glen; Ledesma-Aguilar, Rodrigo; George Wells, Gary
Authors
Élfego Ruiz-Gutiérrez
Ben Bin Xu
David Wood
Glen McHale
Rodrigo Ledesma-Aguilar
Gary George Wells
Abstract
We demonstrate the transport and positioning of water droplets on macro-patterned lubricant-impregnated surfaces. The macro-patterning produces menisci features in the impregnating liquid layer which interact with a droplet via a capillary mechanism similar to the Cheerios effect. These interactions control the droplet motion and positioning on an otherwise completely slippery surface. We present experimental results using a V-shape channel geometry as a model system. The interaction between deformations on the lubricant layer induced by the droplet and the underlying V-shape geometry leads to both local and global equilibrium positions for the droplet within the channel. We present a mathematical model to quantify the transition from local equilibrium states to the global equilibrium state and show that the latter can be described on the basis of a force balance along the apparent contact line of the droplet. We highlight possible applications where lubricated macro-patterned surfaces can be used to control the motion and localisation of droplets.
Citation
Hui Guan, J., Ruiz-Gutiérrez, É., Xu, B. B., Wood, D., McHale, G., Ledesma-Aguilar, R., & George Wells, G. (2017). Drop transport and positioning on lubricant-impregnated surfaces. Soft Matter, 13(18), 3404-3410. https://doi.org/10.1039/c7sm00290d
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 4, 2017 |
Online Publication Date | Apr 11, 2017 |
Publication Date | Apr 11, 2017 |
Deposit Date | Jun 12, 2017 |
Publicly Available Date | Apr 4, 2018 |
Journal | Soft Matter |
Print ISSN | 1744-683X |
Electronic ISSN | 1744-6848 |
Publisher | Royal Society of Chemistry |
Peer Reviewed | Peer Reviewed |
Volume | 13 |
Issue | 18 |
Pages | 3404-3410 |
DOI | https://doi.org/10.1039/c7sm00290d |
Public URL | https://durham-repository.worktribe.com/output/1385264 |
Files
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(2.2 Mb)
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