Omnidirectional algorithm for the full penetration hole extraction in laser welding processes

Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-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)
  • Daniel Carl - , Fraunhofer Institute for Physical Measurement Techniques (Author)

Abstract

In this paper a new Cellular Neural Network (CNN) based visual algorithm for welding processes is proposed. The idea described in [1] can be used in processes, whose welding direction has a constant orientation well known a priori. The algorithm proposed in the following is omnidirectional in the sense that it does not depend on the welding direction. This fact enables closed loop control systems for welding processes with curved seeds. On Eye-RIS systems [2] processing times of about 110 μs are achievable for both acquisition and evaluation of full frame images.

Details

Original languageEnglish
Title of host publicationECCTD 2009 - European Conference on Circuit Theory and Design Conference Program
Pages177-180
Number of pages4
Publication statusPublished - 2009
Peer-reviewedYes

Conference

Title2009 European Conference on Circuit Theory and Design
Abbreviated titleECCTD 2009
Duration23 - 27 August 2009
CityAntalya
CountryTurkey

External IDs

ORCID /0000-0001-7436-0103/work/142240300

Keywords

ASJC Scopus subject areas

Keywords

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