Real time closed loop control of full penetration keyhole welding with cellular neural network cameras

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Felix Abt - , University of Stuttgart (Author)
  • Andreas Blug - , Fraunhofer Institute for Physical Measurement Techniques (Author)
  • Leonardo Nicolosi - (Author)
  • F. Dausinger - , Dausinger and Giesen GmbH (Author)
  • Heinrich Höfler - , Fraunhofer Institute for Physical Measurement Techniques (Author)
  • R. Tetzlaff - , Chair of Fundamentals of Electrical Engineering (Author)
  • R. Weber - , University of Stuttgart (Author)

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 languageEnglish
Pages (from-to)131-137
Number of pages7
JournalJournal of laser micro nanoengineering
Volume6
Issue number2
Publication statusPublished - 2011
Peer-reviewedYes

External IDs

ORCID /0000-0001-7436-0103/work/142240325

Keywords

Keywords

  • Cellular neural network (CNN), Closed loop, Laser welding, Process control

Library keywords