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Distribution et transport des variables de modèles polycristallins pour la prédiction de l'anisotropie mécanique des métaux en mise en forme

Abstract : In order to predict mechanical anisotropy due to metal microstructure and to follow crystallographical texture evolution in the simulation of forming processes, we use the coupling of the FE method with a polycrystalline model. For this kind of coupling, the polycrystal is often represented by its discretized texture, which is usually considered at each integration point in the mesh, thereby generating very large computation times. In order to decrease computation time for this kind of approach, we use in this work the Lagrangian particle concept. The Lagrangian particles allow to divide the studied volume into cells. Instead of considering one texture by integration point, the texture is distributed among the integration points in a given cell. Hence, at each integration point in the mesh, only a part of the texture is considered, consequently decreasing the overall number of textures in the mesh and computation time. Moreover, remeshing is often necessary when dealing with large deformations in the context of forming processes. The use of Lagrangian particles allows the microstructural variables to be transferred from the old mesh to the new one, whereas classical interpolation methods are not appropriated for some of these variables. This Lagrangian particles based method has been validated with the following experiments: uniaxial compression of samples of a rough-cast steel exhibiting a pronounced texture in its columnar zone induced by the casting process, and compression of an aluminium alloy exhibiting a pronounced texture induced by the extrusion. The method developed in this work is presented in the general framework of large deformations processes where the material microstructural variables evolve and determine the material constitutive behaviour.
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https://pastel.archives-ouvertes.fr/pastel-00002020
Contributor : Ecole Mines Paristech <>
Submitted on : Thursday, January 11, 2007 - 8:00:00 AM
Last modification on : Thursday, September 24, 2020 - 5:22:54 PM
Long-term archiving on: : Thursday, September 30, 2010 - 7:43:22 PM

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  • HAL Id : pastel-00002020, version 1

Citation

Marianne Beringhier. Distribution et transport des variables de modèles polycristallins pour la prédiction de l'anisotropie mécanique des métaux en mise en forme. Sciences de l'ingénieur [physics]. École Nationale Supérieure des Mines de Paris, 2006. Français. ⟨pastel-00002020⟩

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