DI-UMONS : Dépôt institutionnel de l’université de Mons

Recherche transversale
(titres de publication, de périodique et noms de colloque inclus)
2019-12-02 - Colloque/Présentation - communication orale - Anglais - page(s)

De Coninck Joël , "How wettability controls nanoprinting" in 2019 MRS Fall Meeting, Boston, Etats-Unis

  • Codes CREF : Physique (DI1200), Physique des surfaces (DI1265)
  • Unités de recherche UMONS : Laboratoire de Physique des Surfaces et Interfaces (S877)
  • Instituts UMONS : Institut de Recherche en Science et Ingénierie des Matériaux (Matériaux), Institut de Recherche sur les Systèmes Complexes (Complexys)
  • Centres UMONS : Ingénierie des matériaux (CRIM)
Texte intégral :

Abstract(s) :

(Anglais) Using large scale molecular dynamics, we study in detail the impact of nanometer droplets of low viscosity on substrates and the effect of the wettability between the liquid and the plate. We show the maximal contact diameter during the nanodroplet impact (Dmax) as well as the time required to reach it (tmax) are in agreement with experimental data at the macroscale showing similarities between droplet impacts at the nano and the macro scales. The comparison between the MD simulations and different models reveals that most of these models do not take into acvount all the effects we observe at the nanoscale. Moreover, most of their predictions for the impact at the nanoscale do not correspond to the simulation results. Because of this, we have developed a simple model for Dmax which is in agreement not only with the simulation data but also the experimental observations and it also takes into account the effects of the liquid-solid wettability. We also propose a new scaling for tmax with respect to the impact velocity which is also in agreement with the experimental observations. With the new model for Dmax plus the scaling found for tmax, we present a new way to collapse in a master curve the evolution of the micro to nanometer drop contact diameter during impact for different wettabilities and different impact velocities. We believe our results may help to design better nanoprinters since they provide an estimation of the maximum impact velocities required to obtain a smooth and homogeneous coverage of the surfaces without dry spots.