Real time closed loop control of full penetration keyhole welding with cellular neural network cameras
Publikation: Beitrag in Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung
Beitragende
Abstract
Camera based in-process control for laser welding enables flexible image processing which allows the adaption of the system to different processes and quality features. A closed loop control system with a Cellular Neural Network Camera was implemented into a laser welding machine. The system is surveying the contour of the full penetration hole with a frame rate of over 10 kHz for both, acquisition and evaluation of area images. As a result the system reaches and holds the full penetration state automatically. This paper shows the latest experimental results including the extension to direction independent weldings.
Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 131-137 |
| Seitenumfang | 7 |
| Fachzeitschrift | Journal of laser micro nanoengineering |
| Jahrgang | 6 |
| Ausgabenummer | 2 |
| Publikationsstatus | Veröffentlicht - 2011 |
| Peer-Review-Status | Ja |
Externe IDs
| ORCID | /0000-0001-7436-0103/work/142240325 |
|---|
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- Cellular neural network (CNN), Closed loop, Laser welding, Process control