TY - CONF A1 - Fabry, Cagtay A1 - Pittner, Andreas A1 - Rethmeier, Michael 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. 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 - IIW Commission I, IV, XII / SG 212 Intermediate Meeting CY - Genova, Italy DA - 07.03.2016 KW - Narrow gap GMAW KW - MSG-Engspaltschweißen KW - Artificial neural networks KW - Profile measurement KW - GMAW control KW - Arc-sensing KW - Künstliche neuronale Netze KW - Profilvermessung KW - MAG Prozesssteuerung KW - Lichtbogensensorik PY - 2016 AN - OPUS4-35535 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pittner, Andreas A1 - Fabry, Cagtay A1 - Rethmeier, Michael T1 - Automated welding of support structures for offshore wind turbines N2 - Offshore wind energy plays an important role for the desired transition towards a carbon dioxide free industry within the next decades. However, the grounding of the offshore wind plants governs the overall installation process besides bureaucratic bottlenecks. The application of lightweight principles in steel construction, e.g. the usage dissolved load-bearing structures, so called Jackets foundations, offer great potential in reducing the resource consumption, especially with respect to the needed amount of steel. In this context this paper focuses on a fully digitalization of the welding manufacturing and as well as testing chain to enable a fully automated manufacturing as well as quality assessment of tubular nodes as key element of Jackets foundation structures. Furthermore, the relationship between the seam shape geometry and resulting fatigue strength is evaluated by numerical methods incorporating bionic principles. It is shown that tubular nodes can be welded fully automatically taking geometry tolerances into account. Moreover, the seam shape could be manufactured as requested by the numerical models which offers great potential for an extended lifetime. Subsequently, the improvements in resource efficiency and reduction of carbon dioxide emissions are evaluated by a life-cycle-assessment. T2 - THERMEC'2023 International Conference on PROCESSING & MANUFACTURING OF ADVANCED MATERIALS: Processing, Fabrication, Properties, Applications CY - Vienna, Austria DA - 02.07.2023 KW - Offshore Wind energy KW - Automated welding KW - Life cycle assessment KW - Jacket foundations KW - Fatigue life PY - 2023 AN - OPUS4-59501 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -