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Caractérisation des procédés de fabrication de pièces de securité automobile. optimisation multiobjectifs de la mise en forme

Abstract : Automotive safety parts manufactured out of steel sheets are more and more expansive due to the increase in price of raw materials. Moreover, these parts are subjected to increasingly demanding European standards. This is why automobile equipment supplier, such as company DEVILLÉ S.A. are looking to develop numerical tools in order to optimize and predict the behavior of these parts, in-service, by integrating the entire manufacturing process. The work presented here is a contribution to this end. The use of optimization methods, in particular a genetic algorithm called NSGA-2, coupled with CAD and finite elements codes made it possible to improve various cost functions like the maximum material damage value obtained in the part at the time of its design or the maximum effort necessary for unbending, etc. The use of neural networks to reduce the total calculation time has also been studied in this work. These numerical methods require the use of material behavior and damage laws which were the subject of an experimental study as well as the identification of the model parameters. In particular an inverse methodology has been used to reduce the error made during the numerical simulation.
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https://pastel.archives-ouvertes.fr/pastel-00004895
Contributor : Ecole Arts Et Métiers Paristech <>
Submitted on : Tuesday, March 17, 2009 - 8:00:00 AM
Last modification on : Friday, October 23, 2020 - 4:34:30 PM
Long-term archiving on: : Friday, September 10, 2010 - 1:30:58 PM

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Eric Gildemyn. Caractérisation des procédés de fabrication de pièces de securité automobile. optimisation multiobjectifs de la mise en forme. Sciences de l'ingénieur [physics]. Arts et Métiers ParisTech, 2008. Français. ⟨NNT : 2008ENSAM0019⟩. ⟨pastel-00004895⟩

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