Description du projet
La production de pièces métalliques rencontre son jumeau
Relativement nouveau, le concept de jumeau numérique (JN) est de plus en plus accepté dans l’industrie. La production à l’échelle industrielle de pièces métalliques ne fait pas exception à la règle. Dans ce contexte, le projet MetaFacturing, financé par l’UE, se concentrera sur une chaîne d’outils numérisée destinée à la production de pièces métalliques. Il vise à rendre la production plus résiliente en termes de matières premières utilisées (matériaux recyclés). En outre, il réduira également les efforts et les coûts des opérateurs, ainsi que les chutes dues à des pièces non conformes aux spécifications. Il a pour ambition de créer un cadre de configuration et de contrôle des processus fondé sur les JN largement applicable. Le projet collaborera avec six leaders du marché afin de déterminer comment mettre en place une fabrication durable tout en conservant leur dominance de marché respective.
Objectif
MetaFacturing focuses on a digitized toolchain for metal part production which will lead to a more resilient production process with respect to the raw materials used (e.g. recycled materials), reduces operator effort and cost, and reduces scrap due to out-of-specification parts. The vision is to create a widely-applicable Digital Twin based process setup and control framework, fulfilling the requirements of industrial scale parts manufacturers (with a specific focus on metal parts) whose central hurdle is the effective use of available part and process data to improve the time-to-market and product quality. This framework will strongly leverage on a range of state-of-the-art technologies in the field of model-based data fusion, efficient process simulation, and data standardisation, and continuous Life Cycle Assessment in order to efficiently develop solutions which are tailored for deployment in industry. MetaFacturing project brings together 6 market leaders (FRONIUS, NEMAK, FILL, VITRONIC, BENTELER and LTH) which will closely cooperate in order to reach a new level of leadership in sustainable manufacturing while maintaining their respective market dominance. The envisaged approach will exploit all available data in the process, starting from material data, in-process measurements, end-of-line quality control and sampling-based product validation. The Digital Twin based approach will enable the holistic consideration of this data in order to provide automatic feedback for the process control, as well as providing novel (meta-)data on the materials used which will be valuable to train the engineers working with these materials.
Champ scientifique
Mots‑clés
Programme(s)
Régime de financement
HORIZON-IA - HORIZON Innovation ActionsCoordinateur
3000 Leuven
Belgique