Acoustic process monitoring in laser beam welding
Schmidt L, Römer F, Böttger D, Leinenbach F, Straß B, Wolter B, Schricker K, Seibold M, Bergmann JP, Galdo GD (2020)
Publication Type: Conference contribution
Publication year: 2020
Journal
Publisher: Elsevier B.V.
Book Volume: 94
Pages Range: 763-768
Conference Proceedings Title: Procedia CIRP
Event location: Virtual, Online
DOI: 10.1016/j.procir.2020.09.139
Abstract
Structure-borne acoustic emission (AE) measurement shows major advantages regarding quality assurance and process control in industrial applications. In this paper, laser beam welding of steel and aluminum was carried out under varying process parameters (welding speed, focal position) in order to provide data by means of structure-borne AE and simultaneously high-speed video recordings. The analysis is based on conventionally (e.g. filtering, autocorrelation, spectrograms) as well as machine learning methods (convolutional neural nets) and showed promising results with respect to the use of structure-borne AE for process monitoring using the example of spatter formation.
Involved external institutions
Technische Universität Ilmenau
Germany (DE)
Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren (IZFP) / Fraunhofer Institute for Nondestructive Testing
Germany (DE)
Germany (DE)
Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren (IZFP) / Fraunhofer Institute for Nondestructive Testing
Germany (DE)
How to cite
APA:
Schmidt, L., Römer, F., Böttger, D., Leinenbach, F., Straß, B., Wolter, B.,... Galdo, G.D. (2020). Acoustic process monitoring in laser beam welding. In M. Schmidt, F. Vollertsen, E. Govekar (Eds.), Procedia CIRP (pp. 763-768). Virtual, Online: Elsevier B.V..
MLA:
Schmidt, Leander, et al. "Acoustic process monitoring in laser beam welding." Proceedings of the 11th CIRP Conference on Photonic Technologies, LANE 2020, Virtual, Online Ed. M. Schmidt, F. Vollertsen, E. Govekar, Elsevier B.V., 2020. 763-768.
BibTeX: Download