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An experimental setup to integrate laser sensor into conventional GMAW setups via a unified control architecture is described. The setup is used to automate and monitor narrow-gap GMAW and control the electrode weaving motion as well as the resulting height of each weld layer. A way to develop GMAW arc-sensors using artificial neural networks using the setup is shown.
The control system is connected to a relational database to store various process measurements. The database can be accessed to filter previous weldments by numerous criteria which allows modelling of process parameter correlation among vast datasets. Such models can be used for process monitoring and control in future applications.
Es wird ein Versuchsstand zum automatisierten MSG-Engspaltschweißen mit integrierter Lasersensorik zur Prozessteuerung und -überwachung vorgestellt. Die Funktion einer Lichtbogensensorik zur automatischen Steuerung der mechanischen Elektrodenauslenkung wird erläutert und verschiedene Anwendungsfälle an Beispielen demonstriert. Die zusätzliche Füllgradregelung beim Mehrlagenschweißen mit veränderlichem Nahtquerschnitt auf Basis der optischen Messtechnik wird zudem vorgestellt.
An experimental setup to integrate laser sensor into conventional GMAW setups via a unified control architecture is described. The setup is used to automate and monitor narrow-gap GMAW. A way to develop GMAW arc-sensors using artificial neural networks using the setup is shown.
The control system is connected to a relational database to store various process measurements. The database can be accessed to filter previous weldments by numerous criteria which allows modelling of process parameter correlation among vast datasets. Such models can be used for process monitoring and control in future applications.