Application of the Lattice-Boltzmann method to wetting on anisotropic textured surfaces: Characterization of the liquid-solid interface.

Experiments Lattice Boltzmann method Simulations Textured surfaces Wettability

Journal

Journal of colloid and interface science
ISSN: 1095-7103
Titre abrégé: J Colloid Interface Sci
Pays: United States
ID NLM: 0043125

Informations de publication

Date de publication:
15 Dec 2023
Historique:
received: 05 06 2023
revised: 24 07 2023
accepted: 31 07 2023
medline: 14 8 2023
pubmed: 14 8 2023
entrez: 13 8 2023
Statut: ppublish

Résumé

To understand the relationship between topography and wetting, it is not enough to study the contact angle. Indeed, the liquid-solid interface plays an important role in wetting. However, data such as the total triple line length, the wetting area and the anchoring depth are inaccessible or difficult to obtain experimentally. This work proposes to overcome the experimental limitations by using a numerical approach to characterize the wetting behavior on textured surfaces. The wetting behavior of an anisotropic textured surface was compared for both experimental and numerical approaches. The experimental wetting is characterized by sessile drop experiments. The simulations were performed by applying the pseudo-potential Lattice-Boltzmann method. The numerical approach was then used to predict the wetting behavior of different materials. The simulations capture both the wetting state and the contact angle, in accordance with the experimental observation. Without making any assumptions about the interfacial shape and anchoring, the simulation allows to characterize the liquid-solid interface by quantifying the total length of the triple line and the wetting area. Simultaneously, the simulations enable the characterization of impregnation within textures for complex mixed regimes.

Identifiants

pubmed: 37574353
pii: S0021-9797(23)01464-9
doi: 10.1016/j.jcis.2023.07.207
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

362-368

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Alexandre Epalle (A)

Laboratory of Tribology and Systems Dynamics, Ecole Centrale de Lyon, France. Electronic address: alexandre.epalle@ec-lyon.fr.

Mathilde Catherin (M)

Laboratory of Tribology and Systems Dynamics, Ecole Centrale de Lyon, France.

Manuel Cobian (M)

Laboratory of Tribology and Systems Dynamics, Ecole Centrale de Lyon, France.

Stéphane Valette (S)

Laboratory of Tribology and Systems Dynamics, Ecole Centrale de Lyon, France. Electronic address: stephane.valette@ec-lyon.fr.

Classifications MeSH