Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens

• Glavni avtor: Felica Tatzel, Leonie (auth)
• Format: Elektronski Book Chapter
• Izdano: Karlsruhe KIT Scientific Publishing 2022
• Serija: Forschungsberichte aus der Industriellen Informationstechnik 24
• Teme: Electrical engineering; cut quality; convolutional neural network; machine learning; stainless steel; Laser cutting; Schnittqualität; Maschinelles Lernen; Edelstahl; Laserschneiden; Faltendes neuronales Netz
• Online dostop: OAPEN Library: download the publication; OAPEN Library: description of the publication

Izvleček

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.

Fizični opis

1 electronic resource (234 p.)

ISBN

KSP/1000137690
9783731511281

Dostop

Open Access