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Automatic parameter classification for dimension reduction as basis for robust parameter identification

 
: Steffes-Lai, D.

:

Larkiola, Jari ; European Scientific Association for Material Forming:
Material Forming ESAFORM 2014 : Selected, peer reviewed papers from the 17th Conference of the European Scientific Association on Material Forming (ESAFORM 2014). May 7-9, 2014, Espoo, Finland
Dürnten: Trans Tech Publications, 2014 (Key engineering materials 611-612)
ISBN: 978-3-03795-801-8
ISBN: 978-3-03835-106-1
S.1383-1389
International Conference on Material Forming (ESAFORM) <17, 2014, Espoo>
Englisch
Konferenzbeitrag
Fraunhofer SCAI ()

Abstract
This paper presents a fully automatic parameter classification procedure in order to identify the most influencing parameters together with locally interesting parts of the component considered in a certain processing step. The results of this classification approach are used for a parameter space reduction in order to minimize the computational effort for subsequent analysis and optimization tasks based on forecast models. In particular, an outlook on the evaluation of radial basis function metamodels for a robust parameter identification is given. We demonstrate the classification procedure and its benefits by an industrially relevant deep drawing process of a pan with secondary design elements.

: http://publica.fraunhofer.de/dokumente/N-301240.html