Parameter optimization of the sheet metal forming process using an iterative parallel Kriging algorithm

  • J. JakumeitEmail author
  • M. Herdy
  • M. Nitsche
Industrial Applications


Different numerical optimization strategies were used to find an optimized parameter setting for the sheet metal forming process. A parameterization of a time-dependent blank-holder force was used to control the deep-drawing simulation. Besides the already well-established gradient and direct search algorithms and the response surface method the novel Kriging approach was used as an optimization strategy. Results for two analytical and two sheet metal forming test problems reveal that the new Kriging approach leads to a fast and stable convergence of the optimization process. Parallel simulation is perfectly supported by this method.


Kriging parallel simulation process parameter optimization sheet metal forming 


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Copyright information

© Springer-Verlag 2005

Authors and Affiliations

  1. 1.Fraunhofer Institute Algorithms and Scientific ComputingSankt AugustinGermany
  2. 2.INPRO Innovationsgesellschaft für fortgeschrittene Produktionssysteme in der Fahrzeugindustrie mbHBerlinGermany

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