Project description
Metal part production meets its twin
As a relatively new concept, the digital twin (DT) is finding increased acceptance in industry. The industrial-scale production of metal parts is no exception. In this context, the EU-funded MetaFacturing project will focus on a digitised toolchain for metal part production. Its aim is to make it more resilient in terms of the raw materials used (recycled materials). It will also reduce operator effort and cost and reduce scrap due to out-of-specification parts. The vision is to create a widely-applicable DT-based process setup and control framework. The project will work together with six market leaders to test how to achieve sustainable manufacturing while maintaining their respective market dominance.
Objective
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.
Keywords
Programme(s)
Funding Scheme
HORIZON-IA - HORIZON Innovation ActionsCoordinator
3000 Leuven
Belgium