TY - GEN A1 - Fabry, Cagtay T1 - Data-based process monitoring and control in narrow-gap GMAW N2 - 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. T2 - 69th IIW Annual Assembly CY - Melbourne, Australia DA - 10.07.2016 KW - Arc-sensing KW - Künstliche neuronale Netze KW - Artificial neural networks KW - GMAW control KW - Narrow gap GMAW KW - Profile measurement KW - Lichtbogensensorik KW - MAG Prozesssteuerung KW - MSG-Engspaltschweißen KW - Profilvermessung PY - 2016 UR - https://opus4.kobv.de/opus4-bam/frontdoor/index/index/docId/38291 AN - OPUS4-38291 AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany