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Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens
Leonie Felica Tatzel
2022
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Although laser cutting of metals is a well-established process, there is considerable potential for improvement with regard to various requirements for the manufacturing industry. First, this potential is identified and then it is shown how improvements could be made using machine learning. For this purpose, a database was generated. It contains the process parameters, RGB images, 3D point clouds and various quality features of almost 4000 cut edges.
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Keywords
- convolutional neural network
- cut quality
- Edelstahl
- Electrical engineering
- Energy technology & engineering
- Faltendes neuronales Netz
- laser cutting
- Laserschneiden
- Machine learning
- Maschinelles Lernen
- Schnittqualität
- Stainless Steel
- Technology, engineering, agriculture
Links
DOI: 10.5445/KSP/1000137690Editions