Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens

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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Superior document:Forschungsberichte aus der Industriellen Informationstechnik
:
Felica Tatzel, Leonie
Year of Publication:2022
Language:German
Series:Forschungsberichte aus der Industriellen Informationstechnik
Physical Description:1 electronic resource (234 p.)
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spelling Felica Tatzel, Leonie auth
Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens
Karlsruhe KIT Scientific Publishing 2022
1 electronic resource (234 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Forschungsberichte aus der Industriellen Informationstechnik
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.
German
Electrical engineering bicssc
cut quality
convolutional neural network
machine learning
stainless steel
Laser cutting
Schnittqualität
Maschinelles Lernen
Edelstahl
Laserschneiden
Faltendes neuronales Netz
3-7315-1128-2
language German
format eBook
author Felica Tatzel, Leonie
spellingShingle Felica Tatzel, Leonie
Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens
Forschungsberichte aus der Industriellen Informationstechnik
author_facet Felica Tatzel, Leonie
author_variant t l f tl tlf
author_sort Felica Tatzel, Leonie
title Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens
title_full Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens
title_fullStr Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens
title_full_unstemmed Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens
title_auth Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens
title_new Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens
title_sort verbesserungen beim laserschneiden mit methoden des maschinellen lernens
series Forschungsberichte aus der Industriellen Informationstechnik
series2 Forschungsberichte aus der Industriellen Informationstechnik
publisher KIT Scientific Publishing
publishDate 2022
physical 1 electronic resource (234 p.)
isbn 1000137690
3-7315-1128-2
illustrated Not Illustrated
work_keys_str_mv AT felicatatzelleonie verbesserungenbeimlaserschneidenmitmethodendesmaschinellenlernens
status_str n
ids_txt_mv (CKB)5840000000005224
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hierarchy_parent_title Forschungsberichte aus der Industriellen Informationstechnik
is_hierarchy_title Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens
container_title Forschungsberichte aus der Industriellen Informationstechnik
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