Cellular Neural Network (CNN) based control algorithms for omnidirectional laser welding processes: Experimental results

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

  • Leonardo Nicolosi - , TUD Dresden University of Technology (Author)
  • Ronald Tetzlaff - , Chair of Fundamentals of Electrical Engineering (Author)
  • Felix Abt - , Forschungsgesellschaft für Strahlwerkzeuge Mbh (FGSW) (Author)
  • Andreas Blug - , Fraunhofer Institute for Physical Measurement Techniques (Author)
  • Heinrich Höfler - , Fraunhofer Institute for Physical Measurement Techniques (Author)

Abstract

The high dynamics of laser beam welding (LBW) in several manufacturing processes ranging from automobile production to precision mechanics requires the introduction of new fast real time controls. In the last few years, algorithms for the control of constant-orientation LBW processes have been introduced. Nevertheless, some real life processes are also performed changing the welding orientation during the process. In this paper experimental results obtained by the use of a new CNN based strategy for the control of curved welding seams are discussed. It is based on the real time adjustment of the laser power by the detection of the full penetration hole in process images. The control algorithm has been implemented on the Eye-RIS system v1.2 leading to a visual closed loop control solution with controlling rates up to 6 kHz.

Details

Original languageEnglish
Title of host publication2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010
PublisherIEEE Computer Society, Washington
ISBN (print)9781424466795
Publication statusPublished - 29 Mar 2010
Peer-reviewedYes

Publication series

SeriesIEEE International Workshop on Cellular Nanoscale Networks and their Applications (CNNA)

Conference

Title2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010
Duration3 - 5 February 2010
CityBerkeley, CA
CountryUnited States of America

External IDs

ORCID /0000-0001-7436-0103/work/142240304

Keywords

Keywords

  • Closed loop systems, CNN, Laser welding, SIMD processor, System application and experience