Wetting Behavior Driven by Surface Morphology Changes Induced by Picosecond Laser Texturing

Author:

Corsaro Carmelo1ORCID,Orlando Gabriele1,Costa Gabriele1,Latino Mariangela12ORCID,Barreca Francesco1ORCID,Mezzasalma Angela Maria1ORCID,Neri Fortunato1ORCID,Fazio Enza1ORCID

Affiliation:

1. Department of Mathematical and Computational Sciences, Physics Science and Earth Science, University of Messina, Viale F. Stagno d’Alcontres 31, I-98166 Messina, Italy

2. CNR-Institute for Chemical and Physical Processes (IPCF), Viale F. Stagno d’Alcontres 37, I-98158 Messina, Italy

Abstract

The laser surface texturing (LST) technique has recently been used to enhance adhesion bond strength in various coating applications and to create structures with controlled hydrophobic or superhydrophobic surfaces. The texturing processing parameters can be adjusted to tune the surface’s polarity, thereby controlling the ratio between the polar and dispersed components of the surface free energy and determining its hydrophobic character. The aim of this work is to systematically select appropriate laser and scan head parameters for high-quality surface topography of metal-based materials. A correlation between texturing parameters and wetting properties was made in view of several technological applications, i.e., for the proper growth of conformal layers onto laser-textured metal surfaces. Surface analyses, carried out by scanning electron microscopy and profilometry, reveal the presence of periodic microchannels decorated with laser-induced periodic surface structures (LIPSS) in the direction parallel to the microchannels. The water contact angle varies widely from about 20° to 100°, depending on the treated material (titanium, nickel, etc.). Nowadays, reducing the wettability transition time from hydrophilicity to hydrophobicity, while also changing environmental conditions, remains a challenge. Therefore, the characteristics of environmental dust and its influence on the properties of the picosecond laser-textured surface (e.g., chemical bonding of samples) have been studied while monitoring ambient conditions.

Funder

European Union (NextGeneration EU), through the MUR-PNRR project SAMOTHRACE

Publisher

MDPI AG

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