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A multiscale model to describe the wetting of solid surfaces

ORAL

Abstract

Interface properties between liquids and solids determine the adhesion, friction, and wettability response of surfaces in various applications of engineering interest. However, the multiscale nature of these phenomena limits bottom-up prediction of the resulting surface properties.

In this work, we use computational experiments to characterize solid surfaces and reproduce the dynamics of a droplet on a surface. First, we adopt molecular dynamics simulations to compute the work of adhesion (Wad), solid-liquid interface tension (γsl), and slip length using the free energy perturbation (FEP) approach and the Green-Kubo relation, respectively. The obtained results are validated against experiments and then used as boundary conditions for a continuous model based on the phase field method in terms of the wetted wall and friction coefficient in the Navier slip. We explore the impact and spread of the droplet on the surface and compare the results with experiments.

This numerical approach allows us to understand and decouple the different mechanisms governing the wetting properties of solid surfaces. The goal is to propose a multiscale framework for the computational characterization of surfaces, which is necessary for the optimal design of materials with tailored surface properties.

Publication: 1. Cardellini et al. 'Integrated Molecular Dynamics and Experimental Approach to Characterize Low-Free-Energy Perfluoro-Decyl-Acrylate (PFDA) Coated Silicon'. Materials & Design 208 (2021) 109902.<br>2. Dreher et al. 'Calculation of the interfacial tension of the graphene-water interaction by molecular simulations' J. Chem. Phys. 150, 014703 (2019).<br>3. Sarkar et al 'A new methodology for measuring solid/liquid interfacial energy'. In submission at PNAS.<br>4. T.D. Blake 'The physics of moving wetting lines'. Journal of Colloid and Interface Science 299 (2006) 1–13.

Presenters

  • Francesco Maria m Bellussi

    Politecnico di Torino

Authors

  • Francesco Maria m Bellussi

    Politecnico di Torino

  • Sreya Sarkar

    University of Illinois at Chicago, Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, Illinois, 60607, US

  • Harshad Gaikwad

    University of Illinois at Chicago

  • Matteo Fasano

    Politecnico di Torino

  • Pietro Asinari

    Politecnico di Torino

  • Constantine M Megaridis

    University of Illinois at Chicago