Statistical Analysis of Forming Processes as a First Step in a Process-Chain Analysis: Novel PRO-CHAIN Components

Daniela Steffes-Lai; Tanja Clees

doi:10.4028/www.scientific.net/KEM.504-506.631

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 504-506Statistical Analysis of Forming Processes as a...

Statistical Analysis of Forming Processes as a First Step in a Process-Chain Analysis: Novel PRO-CHAIN Components

Abstract:

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.

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Periodical:

Key Engineering Materials (Volumes 504-506)

Pages:

631-636

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.504-506.631

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Online since:

February 2012

Authors:

Daniela Steffes-Lai, Tanja Clees

Keywords:

Dimension Reduction, Forming Simulation, Interpolation, Metamodel, Process Chain, Sensitivity Analysis, Statistical Analysis

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