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Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens

By:

Felica Tatzel, Leonie [auth]

Material type: Article

ArticleLanguage: German Publication details: Karlsruhe KIT Scientific Publishing 2022Description: 1 electronic resource (234 p.)ISBN:

KSP/1000137690
9783731511281

Subject(s):

Online resources:

Summary: 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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Item type	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Electronic-Books	OPJGU Sonepat- Campus	E-Books Open Access			Available

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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.

Creative Commons by-sa/4.0 cc http://creativecommons.org/licenses/by-sa/4.0

German

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