Characterisation of control and quality control systems (AI based) using real time Physically based digital twin (PBDT) of physico chemical processes (material transformation processes and surrounding environment) Virtual manufacturing facility and sinthetic process data sets

Construction of physically based digital twins of material transformation processes (for instance: injection, extrusion, stamping, peen forming, forging, RTM, 3D printing, chemical reactors, etc) and surrounding production environment (for instance: ventilation, pollutants distribution, etc.) to obtain: – insigths about the given manufacturing process regarding the potential of introducing AI technology – representative data sets for further use in optimization solutions development (AI based). Models will be based on real time reduced order models (ROMs) built from PBS models of the process. The result will be a pilot application materialized in software (engineering tool or program script) built from a ROM of the process generated with ML techniques, which can be used as a virtual manufacturing facility and sinthetic data sets generation. Additionally these models will be used for the analysis of performance. Proposal and initial evaluation of alternative, complementary or improved solutions to maximice the capabilities and perfomance of the proposed solution in objective use cases. Target audience: industrial companies – material transformation equipment developers.