In-Process Analysis of Melt Pool Fluctuations with Scanning Optical Coherence Tomography for Laser Welding of Copper for Quality Monitoring
Will T, Jeron T, Hoelbling C, Mueller L, Schmidt M (2022)
Publication Type: Journal article
Publication year: 2022
Journal
Book Volume: 13
Journal Issue: 11
DOI: 10.3390/mi13111937
Abstract
Optical coherence tomography (OCT) is an inline process monitoring technology for laser welding with various applications in the pre-, in-, and post-process. In-process monitoring with OCT focuses on the measurement of weld depth by the placement of a singular measurement beam into the keyhole. A laterally scanned measurement beam gives the opportunity to measure the keyhole and melt pool width. The processing region can be identified by separating higher signal intensities on the workpiece surface from lower signal intensities from the keyhole and the melt pool. In this work, we apply a scanned measurement beam for the identification of keyhole fluctuations. Different laser processing parameters are varied for laser welding of copper to evoke welds in the heat conduction regime, stable deep penetration welding, and unstable deep penetration welding. As keyhole instabilities can be related to the generation of spatter and other defects, we identified a feature for the classification of different weld statuses. In consequence, feedback can be given about possible defects which are originated in keyhole fluctuations (e.g., spatter).
Authors with CRIS profile
Thomas Will
Lehrstuhl für Photonische Technologien
Michael Schmidt
Lehrstuhl für Photonische Technologien
Involved external institutions
Germany (DE)How to cite
APA:
Will, T., Jeron, T., Hoelbling, C., Mueller, L., & Schmidt, M. (2022). In-Process Analysis of Melt Pool Fluctuations with Scanning Optical Coherence Tomography for Laser Welding of Copper for Quality Monitoring. Micromachines, 13(11). https://dx.doi.org/10.3390/mi13111937
MLA:
Will, Thomas, et al. "In-Process Analysis of Melt Pool Fluctuations with Scanning Optical Coherence Tomography for Laser Welding of Copper for Quality Monitoring." Micromachines 13.11 (2022).
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