Synergies
DiMAT, PIONEER, and metaFacturing, funded under HORIZON-CL4-2022-RESILIENCE-01-25, have joined forces to create synergies and enhance the dissemination of their results to end users. The three projects share a common goal of modernizing industrial systems and production lines through innovation and digitalization.
By joining our expertise and resources, we aim to extend our influence beyond individual projects, raising awareness and creating impact through our research and forming a strong network of stakeholders.
Our primary focus of cooperation is on standardization activities, as well as sharing knowledge, and expertise with relevant stakeholders through joint online and in-person sessions. Follow us to learn how our digital services can enhance your advanced material manufacturing processes
Aims to develop and implement an interoperable materials-modeling manufacturing ecosystem enabling multidirectional data from throughout the material value chain by connecting the production’s various stages.
Pioneer is not developing an open innovation platform and interoperable digital pipeline to address a design by simulation optimisation framework.
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 standardization, and continuous Life Cycle Assessment in order to efficiently develop solutions which are tailored for deployment in industry.
