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Robustness analysis with LS-OPT® and LS-DYNA® for sheet metal forming simulations
Author(s) -
Mathias Merten,
K. Liebold,
André Haufe
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1157/1/012088
Subject(s) - fender , robustness (evolution) , sheet metal , formability , monte carlo method , computer science , probabilistic logic , ultimate tensile strength , tola , algorithm , structural engineering , materials science , mathematics , engineering , composite material , artificial intelligence , statistics , biochemistry , chemistry , gene
This contribution shows the application of the optimization and probabilistic analysis program LS-OPT on the drawing step of a generic fender geometry simulated with LS-DYNA to judge on the robustness and reliability of the model. Input variables of a typical sheet forming simulation that are subject to uncertainties are alternated automatically within the framework of LS-OPT based on an inherent Monte Carlo approach. Using metamodel approximations as well as classifiers to evaluate statistical results is discussed. The influence of the variation of the input variables on typical sheet forming results is investigated, e.g. thickness reduction and the Formability Index. Alternated parameters were material properties like yield and tensile strength.

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