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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| Formato: | Libro electrónico |
| Idioma: | Alemán |
| Publicado: |
Karlsruhe
KIT Scientific Publishing
2022
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| Colección: | Forschungsberichte aus der Industriellen Informationstechnik
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009654582606719 |
| Sumario: | 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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| Descripción Física: | 1 electronic resource (234 p.) |
