Real time closed loop control of full penetration keyhole welding with cellular neural network cameras
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
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
Original language | English |
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Pages (from-to) | 131-137 |
Number of pages | 7 |
Journal | Journal of laser micro nanoengineering |
Volume | 6 |
Issue number | 2 |
Publication status | Published - 2011 |
Peer-reviewed | Yes |
External IDs
ORCID | /0000-0001-7436-0103/work/142240325 |
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Keywords
ASJC Scopus subject areas
Keywords
- Cellular neural network (CNN), Closed loop, Laser welding, Process control