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

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

  • Leonardo Nicolosi - , Technische Universität Dresden (Autor:in)
  • Ronald Tetzlaff - , Professur für Grundlagen der Elektrotechnik (GE) (Autor:in)
  • Felix Abt - , Forschungsgesellschaft für Strahlwerkzeuge Mbh (FGSW) (Autor:in)
  • Andreas Blug - , Fraunhofer-Institut für Physikalische Messtechnik (Autor:in)
  • Heinrich Höfler - , Fraunhofer-Institut für Physikalische Messtechnik (Autor:in)

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

OriginalspracheEnglisch
Titel2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010
Herausgeber (Verlag)IEEE Computer Society, Washington
ISBN (Print)9781424466795
PublikationsstatusVeröffentlicht - 29 März 2010
Peer-Review-StatusJa

Publikationsreihe

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

Konferenz

Titel2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010
Dauer3 - 5 Februar 2010
StadtBerkeley, CA
LandUSA/Vereinigte Staaten

Externe IDs

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

Schlagworte

Schlagwörter

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