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  4. Optimal process control through feature-based state tracking along process chains
 
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2013
Conference Paper
Title

Optimal process control through feature-based state tracking along process chains

Abstract
The optimal control of a manufacturing process aims at control parameters that achieve the optimal result with least effort while accepting and handling uncertainty in the state space. This requires a description of the process which includes a representation of the state of the processed material. Only few observable quantities can usually be measured from which the state has to be reconstructed by real-time capable and robust state tracker models. This state tracking is performed by a mapping of the measured quantities on the state variables which is found by nonlinear regression. The mapping also includes a dimension reduction to lower the complexity of the multi-stage optimization problem which is approximately solved online. The proposed generic process model provides a universal description that can be adapted to specific data from simulations or experiments. We show the feasibility of the generic approach by the application to two deep drawing simulation models.
Author(s)
Senn, M.
Link, N.
Gumbsch, P.
Mainwork
2nd World Congress on Integrated Computational Materials Engineering, ICME 2013. Proceedings  
Conference
World Congress on Integrated Computational Materials Engineering (ICME) 2013  
DOI
10.1002/9781118767061.ch11
Language
English
Fraunhofer-Institut für Werkstoffmechanik IWM  
Keyword(s)
  • state tracking

  • optimal control

  • manufacturing process

  • process chain

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