Laser welding of copper to aluminum with spiral trajectory and identification of excessive aluminum melting
Source abstract
Abstract
Laser welding of copper and aluminum is challenging due to the formation of complex intermetallic phases. Only a defined amount of Al and Cu can be melted because of the limited solubility of Al–Cu systems. Finding the optimum melting is critical for a strong joint. Optical emission during the welding process contains the metal vapor of Al metal that is being welded. This is a good indicator for monitoring the welding process. This research paper focuses on the optical emission of Al from the bottom sheet during welding of Cu (top) and Al (bottom) in overlapped configuration for a spiral trajectory. The emitted signal in the range of 395 nm (±3 nm) from the bottom sheet of aluminum is used to identify excessive Cu–Al welding. The tensile shear strength, microstructure, and welding signal in the time domain for optimum and excessive weld conditions are investigated. In this study, a technique using a photodiode is shown to identify the excessive melting of Al during the welding process in real time.
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Research context
OpenAlex topics: Welding Techniques and Residual Stresses · Advanced Welding Techniques Analysis · Non-Destructive Testing Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Faculty of Science, Technology and Medicine , , 6, rue Richard Coudenhove-Kalergi, L-1359 Luxembourg, Luxembourg
University of Luxembourg , , 6, rue Richard Coudenhove-Kalergi, L-1359 Luxembourg, Luxembourg
Funding
European Regional Development Fund
References (22)
Show source-provided references
1. Process studies on laser welding of copper with brilliant green and infrared lasers10.1016/j.phpro.2011.03.142 ↗
2. Laser spot welding of copper-aluminum joints using a pulsed dual wavelength laser at 532 and 1064 nm10.1016/j.phpro.2014.08.083 ↗
3. Laser welding of dissimilar copper and aluminum sheets by shaping the laser pulses10.1016/j.promfg.2019.08.021 ↗
4. Effect of welding speed on microstructural and mechanical properties of laser lap weld joints in dissimilar Al and Cu sheets10.1179/1362171813Y.0000000168 ↗
5. Joining dissimilar materials with pulsed nanosecond fiber lasers industrial use of nanosecond lasers for welding and joining10.1002/latj.201700011 ↗
6. Fine-tuned remote laser welding of aluminum to copper with local beam oscillation10.1016/j.phpro.2016.08.047 ↗
7. Mechanical characteristics of laser braze-welded aluminium-copper connections10.1016/j.optlastec.2013.06.003 ↗
8. 1
9. Metallographic studies of dissimilar Al–Cu laser-welded joints using various etchants10.1007/s13632-018-0501-y ↗
10. 2021
11. Investigation of optical sensor approaches for real-time monitoring during fibre laser welding10.2351/1.4983253 ↗
12. Correlation of optical signal during laser fusion welding of copper to aluminum10.2351/7.0000314 ↗
13. A convolutional neural network for prediction of laser power using melt-pool images in laser powder bed fusion10.1109/ACCESS.2020.2970026 ↗
14. Review of laser welding monitoring10.1179/1362171813Y.0000000180 ↗
15. 2008 · 110.1533/9781845694401 ↗
16. Correlation analysis in laser welding plasma10.1016/j.optcom.2005.02.076 ↗
17. Spectroscopic studies of dissimilar Al–Cu laser welding10.1115/MSEC2018-6310 ↗
18. Characterization of optical spectrum in laser beam welding of dissimilar aluminum-copper joints and time-dependent correlation to process stages10.1117/12.2533476 ↗
19. Status analysis of keyhole bottom in laser-MAG hybrid welding process10.1364/OE.26.000347 ↗
20. A real-time spectroscopic sensor for monitoring laser welding processes10.3390/s90503376 ↗
21. 2015
22. Laser dissimilar welding of copper and steel thin sheets for battery production10.2351/7.0000309 ↗