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Development of AI-hybrid models for WAAM

Motivation:

  • WAAM process required:
    • Prediction: Product development/planning
    • Monitoring: Production/defect detection
    • Control: Quality assurance

Objective:

  • Architecture principles (architecture patterns & synthesis strategies) for hybrid models (HM)

Procedure:

  • Development methodology for data-driven models (DM)
  • Architectural systematics of hybrid models
  • Exploration of architectural principles

Use cases:

  • Microstructure -> Temperature cycles
  • FEM-based simulation of production