Evidence map›Paper›PMID 38283951›Full record

ArticleThe International journal, advanced manufacturing technology2024

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

Abhijit Cholkar, Suman Chatterjee, Feljin Jose, Robert O'Connor, Éanna McCarthy, Nick Weston, David Kinahan, Dermot Brabazon

Abstract read
In one paragraph

Article in The International journal, advanced manufacturing technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Abhijit CholkarI-Form, Advanced Manufacturing Research Centre, Dublin City University, Glasnevin, Dublin, Ireland.ORCID 0000-0003-4608-3203
Suman ChatterjeeI-Form, Advanced Manufacturing Research Centre, Dublin City University, Glasnevin, Dublin, Ireland.
Feljin JoseSchool of Physical Sciences, Dublin City University, Glasnevin, Dublin, Ireland.
Robert O'ConnorAdvanced Processing Technology Research Centre, School of Mechanical and Manufacturing Engineering, Dublin City University, Glasnevin, Dublin, Ireland.
Éanna McCarthyI-Form, Advanced Manufacturing Research Centre, Dublin City University, Glasnevin, Dublin, Ireland.
Nick WestonRenishaw Edinburgh, Riccarton, Edinburgh, EH14 4AP UK.
David KinahanI-Form, Advanced Manufacturing Research Centre, Dublin City University, Glasnevin, Dublin, Ireland.
Dermot BrabazonI-Form, Advanced Manufacturing Research Centre, Dublin City University, Glasnevin, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Hydrophobic surfacesLaser process parameter optimizationParametric modelingSurface chemistrySurface morphologyUltrafast laser surface texturing

Identifiers

PMID38283951
PMCPMC10810958

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.