Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens
Abstract
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.
Keywords
cut quality; convolutional neural network; machine learning; stainless steel; Laser cutting; Schnittqualität; Maschinelles Lernen; Edelstahl; Laserschneiden; Faltendes neuronales NetzDOI
10.5445/KSP/1000137690ISBN
9783731511281, 9783731511281Publisher
KIT Scientific PublishingPublisher website
https://www.ksp.kit.edu/index.php?link=shop&sort=allPublication date and place
Karlsruhe, 2022Imprint
KIT Scientific PublishingSeries
Forschungsberichte aus der Industriellen Informationstechnik, 24Classification
Electrical engineering