Project A5: Identifying the correlations between process parameters, microstructure and mechanical properties with generic models

Motivation and objectives:

• Control of the process chain rolling – recrystallisation annealing – deep drawing
• Optimal control of one process to optimize the process chain 
  • Process state tracking 
  • Process control

• Process state tracking
  • Identification of dependencies between observables and state variables 
  • Extraction of process features 
  • Deduction of workpiece properties from process features (cooperation with A2)
• Process control
  • Determination of the optimal parameters

• Process state tracking 
  • Artificial Neural Networks 
  • Principal Component Analysis 
  • Partial Least Squares Regression
  • Principal Function Approximators
• Process control
  • Stochastic Bellman Equation 
  • Dynamic Programming 
  • Approximate Dynamic Programming