Acoustic process monitoring in laser beam welding
| Autor: | Bernd Wolter, Benjamin Straß, Marc Seibold, Giovanni Del Galdo, Frank Leinenbach, Klaus Schricker, Florian Romer, Jean Pierre Bergmann, David Böttger, Leander Schmidt |
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| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Artificial neural network Computer science business.industry Acoustics Process (computing) Laser beam welding 02 engineering and technology Welding 010501 environmental sciences 01 natural sciences law.invention 020901 industrial engineering & automation Acoustic emission law General Earth and Planetary Sciences Process control Spectrogram business Quality assurance 0105 earth and related environmental sciences General Environmental Science |
| Zdroj: | Procedia CIRP. 94:763-768 |
| ISSN: | 2212-8271 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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