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arXiv · 1809.00490

Imparting icephobicity with substrate flexibility

Thomas Vasileiou·Thomas M. Schutzius·Dimos Poulikakos
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Abstract

Ice accumulation hinders the performance of, and poses safety threats for infrastructure both on the ground and in the air. Previously, rationally designed superhydrophobic surfaces have demonstrated some potential as a passive means to mitigate ice accretion; however, further studies on material solutions that reduce impalement and contact time for impacting supercooled droplets and can also repel droplets that freeze during surface contact are urgently needed. Here we demonstrate the collaborative effect of substrate flexibility and surface nanotexture on enhancing both icephobicity and the repellency of viscous droplets. We first investigate the influence of increased viscosity on impalement resistance and droplet-substrate contact time after impact. Then we examine the effect of droplet partial solidification on recoil and simulate more challenging icing conditions by impacting supercooled water droplets onto flexible and rigid surfaces containing ice nucleation promoters. We demonstrate a passive mechanism for shedding partially solidified droplets under conditions where partial solidification occurs much faster than the natural droplet oscillation which does not rely on converting droplet surface energy into kinetic energy. Using an energy-based model, we identify a previously unexplored mechanism whereby the substrate oscillation and velocity govern the rebound process, with low-areal density and moderately stiff substrates acting to efficiently absorb the incoming droplet kinetic energy and rectify it back, allowing droplets to overcome adhesion and gravitational forces, and recoil. This mechanism applies for a range of droplet viscosities, spanning from low to high viscosity fluids and even ice slurries, which do not rebound from rigid superhydrophobic substrates.

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Thomas Vasileiou, Thomas M. Schutzius, Dimos Poulikakos. 2018-09-03. Imparting icephobicity with substrate flexibility. https://doi.org/10.1021/acs.langmuir.7b01412

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