Optimization of control systems for material transformation processes using digital twins

Enhancing manufacturing processes through advanced AI and Physically Based Digital Twins (PBDT)

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.

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