Cholkar, Abhijit ORCID: 0000-0003-4608-3203, Chatterjee, Suman ORCID: 0000-0001-5263-6930, Jose, Feljin, O'Connor, Robert ORCID: 0000-0001-5794-6188, McCarthy, Éanna, Weston, Nick, Kinahan, David ORCID: 0000-0003-1968-2016 and Brabazon, Dermot ORCID: 0000-0003-3214-6381 (2024) Parametric investigation of ultrashort pulsed laser surface texturing on aluminium alloy 7075 for hydrophobicity enhancement. The International Journal of Advanced Manufacturing Technology, 130 . pp. 4169-4186. ISSN 2252-0406
Abstract
Hydrophobicity plays a pivotal role in mitigating surface fouling, corrosion, and icing in critical marine and aerospace environments.
By employing ultrafast laser texturing, the characteristic properties of a material’s surface can be modified. This
work investigates the potential of an advanced ultrafast laser texturing manufacturing process to enhance the hydrophobicity
of aluminium alloy 7075. The surface properties were characterized using goniometry, 3D profilometry, SEM, and XPS
analysis. The findings from this study show that the laser process parameters play a crucial role in the manufacturing of
the required surface structures. Numerical optimization with response surface optimization was conducted to maximize the
contact angle on these surfaces. The maximum water contact angle achieved was 142º, with an average height roughness
(Sa) of 0.87 ± 0.075 μm, maximum height roughness (Sz) of 19.4 ± 2.12 μm, and texture aspect ratio of 0.042. This sample
was manufactured with the process parameters of 3W laser power, 0.08 mm hatch distance, and a 3 mm/s scan speed. This
study highlights the importance of laser process parameters in the manufacturing of the required surface structures and presents
a parametric modeling approach that can be used to optimize the laser process parameters to obtain a specific surface
morphology and hydrophobicity.
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Uncontrolled Keywords: | Hydrophobic surfaces; Ultrafast laser surface texturing; Laser process parameter optimization; Parametric modeling; Surface morphology; Surface chemistry |
Subjects: | Engineering > Materials Engineering > Mechanical engineering Physical Sciences > Lasers Physical Sciences > Thin films |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Mechanical and Manufacturing Engineering DCU Faculties and Schools > Faculty of Science and Health > School of Physical Sciences Research Institutes and Centres > Advanced Processing Technology Research Centre (APT) Research Institutes and Centres > I-Form Research Institutes and Centres > Water Institute |
Publisher: | Springer London |
Official URL: | https://doi.org/10.1007/s00170-024-12971-8 |
Copyright Information: | © 2024 The Authors. |
Funders: | European Union’s Horizon 2020 Research and Innovation Program under grant agreement No. 862100 (NewSkin), Science Foundation Ireland (SFI) under Grant Numbers 16/RC/3872 |
ID Code: | 29483 |
Deposited On: | 19 Jan 2024 14:25 by Abhijit Suhas Cholkar . Last Modified 23 Feb 2024 15:16 |
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