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:
- insights about the given manufacturing process regarding the potential of introducing AI technology
- representative data sets for further use in optimization solutions development.
The digital twin can be used as a virtual manufacturing facility and for synthetic data sets generation for the analysis of process performance and optimization leading to greater efficiency, quality, and innovation in production.