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Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens
Felica Tatzel, Leonie

Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens

Author / Organization:
Humanities & Social Sciences Published 2022 Verification Pending

Overview & Synopsis

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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Indexed from repository: OAPEN Library (www.oapen.org)

Document Information

Document Title Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens
Author / Organization Felica Tatzel, Leonie
Subject & Discipline cut quality
Categories Humanities & Social Sciences
Publication Year 2022
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website OAPEN Library (www.oapen.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-43266
Original Source Link Visit Source Page on www.oapen.org »