Slippery Liquid-Infused Porous Surfaces and Droplet Transportation by Surface Acoustic Waves

J. T. Luo, N. R. Geraldi, J. H. Guan, G. McHale, G. G. Wells, and Y. Q. Fu
Phys. Rev. Applied 7, 014017 – Published 24 January 2017

Abstract

On a solid surface, a droplet of liquid will stick due to the capillary adhesion, and this causes low droplet mobility. To reduce contact line pinning, surface chemistry can be coupled to micro- and/or nanostructures to create superhydrophobic surfaces on which a droplet balls up into an almost spherical shape, thus, minimizing the contact area. Recent progress in soft matter has now led to alternative lubricant-impregnated surfaces capable of almost zero contact line pinning and high droplet mobility without causing droplets to ball up and minimize the contact area. Here we report an approach to surface-acoustic-wave- (SAW) actuated droplet transportation enabled using such a surface. These surfaces maintain the contact area required for efficient energy and momentum transfer of the wave energy into the droplet while achieving high droplet mobility and a large footprint, therefore, reducing the threshold power required to induce droplet motion. In our approach, we use a slippery layer of lubricating oil infused into a self-assembled porous hydrophobic layer, which is significantly thinner than the SAW wavelength, and avoid damping of the wave. We find a significant reduction (up to 85%) in the threshold power for droplet transportation compared to that using a conventional surface-treatment method. Moreover, unlike droplets on superhydrophobic surfaces, where interaction with the SAW induces a transition from a Cassie-Baxter state to a Wenzel state, the droplets on our liquid-impregnated surfaces remain in a mobile state after interaction with the SAW.

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  • Received 9 September 2016

DOI:https://doi.org/10.1103/PhysRevApplied.7.014017

© 2017 American Physical Society

Physics Subject Headings (PhySH)

Interdisciplinary PhysicsCondensed Matter, Materials & Applied Physics

Authors & Affiliations

J. T. Luo1,2, N. R. Geraldi2, J. H. Guan2, G. McHale2, G. G. Wells2, and Y. Q. Fu2,*

  • 1College of Physics and Energy, Shenzhen Key Laboratory of Sensor Technology, Shenzhen University, Shenzhen 518060, People’s Republic of China
  • 2Smart Materials and Surfaces Laboratory, Faculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne NE1 8ST, United Kingdom

  • *Corresponding author. richard.fu@northumbria.ac.uk

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Vol. 7, Iss. 1 — January 2017

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