Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens
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.
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 » |