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In the framework of the PIONEER project, researchers and industrial partners have successfully demonstrated how data-driven intelligence can transform manufacturing by combining simulation and real process data. Through Reduced Order Models (ROMs) and Data-Driven Models (DDMs), engineers achieved faster, smarter optimisation of complex processes, improving quality while reducing cost and development time.
Two industrial use cases — Wire Arc Additive Manufacturing (WAAM) and Sheet Molding Compound (SMC) forming — highlight how this hybrid digital approach bridges the gap between physics-based modelling and real-world production, paving the way for next-generation process control and product performance.
Press Releases related to Business Consultancy, Characterization and Modeling, Cloud-based Solutions, Data Analytics, Digitalization for Manufacturing, Engineering Workflows, Interaction and Visualization, Product Development, Robotics and Automation, Semantic Interoperability, Simulation and Optimization in the context of Construction, Manufacturing, Motor Vehicles and (Semi-) Trailers