In this paper, a novel strategy (PRO-CHAIN) and software modules (DesParO, DIFF-CRASH, SCAIMapper) for the statistical ensemble analysis of sensitivity and stability as well as multi-objective robust design-parameter optimization of process chains are discussed. Results are presented for the process chain forming-to-crash for a formed part of a B-pillar, which has a potentially critical influence in car crashes. The PRO-CHAIN strategy consists of several coordinated modules, solving different tasks such as stability analysis, parameter sensitivity analysis, reduction of design space, ensemble compression, robust design-parameter optimization of a step and/or the chain, and mapping of ensembles. The novel software modules can handle large ensembles of simulation data efficiently, even ensembles of full simulation results on highly resolved grids. This way, large random fields can be analyzed directly and fully locally and can be mapped including detailed information on variations from step to step.


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    Titel :

    Efficient stochastic analysis of process chains


    Beteiligte:


    Erscheinungsdatum :

    2010


    Format / Umfang :

    8 Seiten, 7 Bilder, 1 Tabelle, 11 Quellen


    Anmerkungen:

    (nicht paginiert)


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Datenträger


    Sprache :

    Englisch




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