Purpose and goal
The project aims to develop and validate an industry-relevant concept where the natural surface texture of cast components is used as a unique individual marking for traceability throughout the life cycle. The goal is to enable high identification accuracy, demonstrate function in multiple casting processes and industrial environments, and integrate the solution into production without impacting cycle time, for increased circularity, resource efficiency, quality assurance, and business benefit.
Expected effects and result
The project will result in an industry-validated, AI-based concept for individual traceability of cast components, with high identification accuracy and robust function throughout production. In the short term it provides reduced scrap, fewer deviations and good quality control. In the longer term, it enables increased circularity, resource efficiency and lower climate impact through better material flows, reduced remelting and data-driven process optimization, and strengthened competitiveness.
Planned approach and implementation
The project is carried out in collaboration between researchers and industrial partners and takes the next step from feasibility study to an industrial concept. The work begins with requirements, test planning and data collection from several casting processes, followed by development of AI methods for component re-identification. Results are translated into a production-adapted concept with guidelines and business case, and ends with pilot validation in an industrial environment and a roadmap.
The project description has been provided by the project members themselves and the text has not been looked at by our editors.
