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Welding in the World

, Volume 56, Issue 9–10, pp 35–40 | Cite as

Progress Towards Model Based Optimisation Of Gas Metal Arc Welding Processes

  • Uwe Reisgen
  • Marion Beckers
  • Guido Buchholz
  • Konrad Willms
Peer-Reviewed Section

Abstract

Integrated welding production units are nowadays facing increasing demands for higher flexibility and autonomy in order to guarantee a high product quality and to reduce non-productive down time, which is caused by disturbances from changing process boundary conditions. On the one hand, this calls for concepts which support the set-up procedure in case of a product change and allow the efficient production of a wide product variety in order to reduce technical and economical expenditure. On the other hand, a more efficient exploitation of the technical potentials of the welding production systems is necessary. This can be achieved by improving the information processing capabilities of a production system and by enabling the system to autonomously control the process even at its technological limits. In order to manage these tasks, applicable and innovative control strategies are required. Within the scope of this article, a model based self-optimisation method for a gas metal arc welding (GMAW) process is explained. In automated welding production, self optimisation aims for the selection and provision of suitable welding parameters concurrent with changing tasks and requirements. A self-optimisation procedure can be defined as set-up procedure as well as for the use within an online process control strategy. Since both approaches are model based, the inverse usage of quality models and the applied optimisation algorithms represent a further priority of the paper.

IIW- Thesaurus keywords

Mathematical Models Optimisation Process parameters GMA welding 

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Copyright information

© International Institute of Welding 2012

Authors and Affiliations

  • Uwe Reisgen
    • 1
  • Marion Beckers
    • 1
  • Guido Buchholz
    • 1
  • Konrad Willms
    • 1
  1. 1.Welding and JoiningInstitute of the RWTH Aachen University and members of the research group Automation in WeldingAachenGermany

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