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      Parametric investigation of ultrashort pulsed laser surface texturing on aluminium alloy 7075 for hydrophobicity enhancement

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          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.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s00170-024-12971-8.

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          Wettability of porous surfaces

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            Ultrafast laser processing of materials: from science to industry

            Processing of materials by ultrashort laser pulses has evolved significantly over the last decade and is starting to reveal its scientific, technological and industrial potential. In ultrafast laser manufacturing, optical energy of tightly focused femtosecond or picosecond laser pulses can be delivered to precisely defined positions in the bulk of materials via two-/multi-photon excitation on a timescale much faster than thermal energy exchange between photoexcited electrons and lattice ions. Control of photo-ionization and thermal processes with the highest precision, inducing local photomodification in sub-100-nm-sized regions has been achieved. State-of-the-art ultrashort laser processing techniques exploit high 0.1–1 μm spatial resolution and almost unrestricted three-dimensional structuring capability. Adjustable pulse duration, spatiotemporal chirp, phase front tilt and polarization allow control of photomodification via uniquely wide parameter space. Mature opto-electrical/mechanical technologies have enabled laser processing speeds approaching meters-per-second, leading to a fast lab-to-fab transfer. The key aspects and latest achievements are reviewed with an emphasis on the fundamental relation between spatial resolution and total fabrication throughput. Emerging biomedical applications implementing micrometer feature precision over centimeter-scale scaffolds and photonic wire bonding in telecommunications are highlighted.
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              Superhydrophilicity to superhydrophobicity transition of picosecond laser microstructured aluminum in ambient air

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                Author and article information

                Contributors
                abhijit.cholkar2@mail.dcu.ie
                Journal
                Int J Adv Manuf Technol
                Int J Adv Manuf Technol
                The International Journal, Advanced Manufacturing Technology
                Springer London (London )
                0268-3768
                1433-3015
                13 January 2024
                13 January 2024
                2024
                : 130
                : 9-10
                : 4169-4186
                Affiliations
                [1 ]GRID grid.15596.3e, ISNI 0000000102380260, I-Form, Advanced Manufacturing Research Centre, , Dublin City University, ; Glasnevin, Dublin, Ireland
                [2 ]Advanced Processing Technology Research Centre, School of Mechanical and Manufacturing Engineering, Dublin City University, ( https://ror.org/04a1a1e81) Glasnevin, Dublin, Ireland
                [3 ]DCU Water Institute, Dublin City University, ( https://ror.org/04a1a1e81) Glasnevin, Dublin, Ireland
                [4 ]School of Physical Sciences, Dublin City University, ( https://ror.org/04a1a1e81) Glasnevin, Dublin, Ireland
                [5 ]Renishaw Edinburgh, Riccarton, Edinburgh, EH14 4AP UK
                Author information
                http://orcid.org/0000-0003-4608-3203
                Article
                12971
                10.1007/s00170-024-12971-8
                10810958
                38283951
                6578699e-5fdc-46af-8ccf-aa0b59b05636
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 29 June 2023
                : 3 January 2024
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100007601, Horizon 2020;
                Award ID: 862100
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001602, Science Foundation Ireland;
                Award ID: 16/RC/3872
                Award Recipient :
                Funded by: Dublin City University
                Categories
                Original Article
                Custom metadata
                © Springer-Verlag London Ltd., part of Springer Nature 2024

                hydrophobic surfaces,ultrafast laser surface texturing,laser process parameter optimization,parametric modeling,surface morphology,surface chemistry

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