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Statistical analysis of forming processes as a first step in a process-chain analysis: Novel PRO-CHAIN components

: Steffes-lai, D.; Clees, T.


Merklein, M.:
Material Forming ESAFORM 2012. Vol.1 : Selected, peer reviewed papers from the 15th Conference of the European Scientific Association on Material Forming, (ESAFORM 2012), March 14-16, 2012, Erlangen, Germany
Durnten-Zurich: TTP, 2012 (Key engineering materials 504-506)
ISBN: 978-3-03-785366-5
ISBN: 978-3-03-813690-3
ISBN: 3-03-785366-2
European Scientific Association on Material Forming (ESAFORM Conference) <15, 2012, Erlangen>
Fraunhofer SCAI ()
sensitivity; tolerance; scatter; metal forming; B-pillar; crash; chain

This paper presents a new approach for statistical analysis of process chains, including a parameter sensitivity analysis of each process step as a basis for dimension reduction, and an efficient interpolatory metamodel in order to predict new designs. A Monte Carlo alike evaluation of this metamodel results in the requested statistical information, e.g. quantiles of the output functionals. Numerical results are presented for the forming process of a ZStE340 metal blank of a B-pillar. Additionally, a brief overview of results of the process chain forming to crash is given.