Mandolfine, Chiara ORCID: 0000-0002-0210-8483, Ahmed Obeidi, Muhannad ORCID: 0000-0003-2733-3828, Lertoral, Enrico ORCID: 0000-0002-6097-3184 and Brabazon, Dermot ORCID: 0000-0003-3214-6381 (2020) Comparing the adhesion strength of 316L stainless steel joints after laser surface texturing by CO2 and fiber lasers. The International Journal of Advanced Manufacturing Technology, 109 . pp. 1059-1069. ISSN 2252-0406
Abstract
This paper focuses on the effects of the laser surface texturing process and joint configuration of stainless steel adherends on the adhesive tensile bond strength. Two different sources, a CO2 and a fiber laser, were used and compared. In particular, proper choice of laser parameters was explored with the aim of producing different roughness and peak-to-valley distance and different textures on the bonding area, which could increase the real contact surface. Furthermore, to more thoroughly understand the effect of the laser parameters on joint fracture load, the experimental campaign was conducted according to a Design of Experiment (DoE) framework and the results were analyzed with this methodology. The creation of particular textures and roughness levels were related to the resulting joint geometrical configuration and bond strengths. In particular, significant increases in joint bond strength were achieved using both laser sources. Furthermore, by optimizing the laser parameters, smaller laser spot scan path overlaps can be achieved as well as a more refined scale of surface texture and surface roughness. This thereby enables the joining of thinner sections of different materials.
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Uncontrolled Keywords: | Fiber laser; CO2 laser; Stainless steel; Adhesive bonding; Surface texture; Laser surface roughening; Statistical analysis |
Subjects: | Engineering > Materials Engineering > Mechanical engineering Engineering > Production engineering |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Mechanical and Manufacturing Engineering Research Institutes and Centres > Advanced Processing Technology Research Centre (APT) Research Institutes and Centres > I-Form |
Publisher: | Springer Verlag |
Official URL: | https://doi.org/10.1007/s00170-020-05639-6 |
Copyright Information: | © 2021 Springer |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | Science Foundation Ireland (SFI) under grant number 16/RC/3872, European Regional Development Fund |
ID Code: | 26107 |
Deposited On: | 12 Aug 2021 11:31 by Dermot Brabazon . Last Modified 12 Aug 2021 11:31 |
Documents
Full text available as:
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
2MB |
Metrics
Altmetric Badge
Dimensions Badge
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record