Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens

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...

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Bibliographic Details
Main Author: Felica Tatzel, Leonie (auth)
Format: Electronic Book Chapter
Published: Karlsruhe KIT Scientific Publishing 2022
Series:Forschungsberichte aus der Industriellen Informationstechnik 24
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Online Access:OAPEN Library: download the publication
OAPEN Library: description of the publication
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520 |a 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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650 7 |a Electrical engineering  |2 bicssc 
653 |a cut quality 
653 |a convolutional neural network 
653 |a machine learning 
653 |a stainless steel 
653 |a Laser cutting 
653 |a Schnittqualität 
653 |a Maschinelles Lernen 
653 |a Edelstahl 
653 |a Laserschneiden 
653 |a Faltendes neuronales Netz 
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