Journal article
Real Time Closed Loop Control of Full Penetration Keyhole Welding with Cellular Neural Network Cameras
Journal of laser micro nanoengineering, v 6(2), pp 131-137
01 Sep 2011
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. DOI: 10.2961/jlmn.2011.02.0007
Metrics
Details
- Title
- Real Time Closed Loop Control of Full Penetration Keyhole Welding with Cellular Neural Network Cameras
- Creators
- F. Abt - FGSW Forsch Gesell Strahlwerkzeuge gGmbH, D-70569 Stuttgart, GermanyA. Blug - Fraunhofer Inst Phys Measurement Tech IPM, D-79110 Freiburg, GermanyL. Nicolosi - IEE Inst Grundlagen Elektrotech Elekt, D-01069 Dresden, GermanyF. Dausinger - Dausinger & Giesen GmbH, D-70178 Stuttgart, GermanyH. Hoefler - Fraunhofer Inst Phys Measurement Tech IPM, D-79110 Freiburg, GermanyR. Tetzlaff - IEE Inst Grundlagen Elektrotech Elekt, D-01069 Dresden, GermanyR. Weber - IFSW Inst Strahlwerkzeuge, D-70569 Stuttgart, Germany
- Publication Details
- Journal of laser micro nanoengineering, v 6(2), pp 131-137
- Publisher
- Japan Laser Processing Soc
- Number of pages
- 7
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000295957900007
- Scopus ID
- 2-s2.0-82655175465
- Other Identifier
- 991019238873904721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Materials Science, Multidisciplinary
- Nanoscience & Nanotechnology
- Optics
- Physics, Applied