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Antifogging abilities of model nanotextures

  • Timothée Mouterde
  • , Gaëlle Lehoucq
  • , Stéphane Xavier
  • , Antonio Checco
  • , Charles T. Black
  • , Atikur Rahman
  • , Thierry Midavaine
  • , Christophe Clanet
  • , David Quéré
  • UMR 7636 CNRS-ESPCI ParisTech-Université Pierre et Marie Curie
  • Laboratoire d'Hydrodynamique de l'Ecole Polytechnique
  • Thales Research & Technology
  • Brookhaven National Laboratory Condensed Matter Physics and Materials Science Department
  • Brookhaven National Laboratory
  • Stony Brook University
  • Laser Solutions Unit

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

Résumé

Nanometre-scale features with special shapes impart a broad spectrum of unique properties to the surface of insects. These properties are essential for the animal's survival, and include the low light reflectance of moth eyes, the oil repellency of springtail carapaces and the ultra-adhesive nature of palmtree bugs. Antireflective mosquito eyes and cicada wings are also known to exhibit some antifogging and self-cleaning properties. In all cases, the combination of small feature size and optimal shape provides exceptional surface properties. In this work, we investigate the underlying antifogging mechanism in model materials designed to mimic natural systems, and explain the importance of the texture's feature size and shape. While exposure to fog strongly compromises the water-repellency of hydrophobic structures, this failure can be minimized by scaling the texture down to nanosize. This undesired effect even becomes non-measurable if the hydrophobic surface consists of nanocones, which generate antifogging efficiency close to unity and water departure of droplets smaller than 2 μm.

langue originaleAnglais
Pages (de - à)658-663
Nombre de pages6
journalNature Materials
Volume16
Numéro de publication6
Les DOIs
étatPublié - 1 juin 2017

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