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Calculs Éléments Finis à l’échelle des grains depuis des données EBSD

Communication avec acte
Auteur
ccDEPRIESTER, Dorian
1158 Centre de Mise en Forme des Matériaux [CEMEF]
211915 Mechanics surfaces and materials processing [MSMP]
ccKUBLER, Regis
193010 Mécanique des Surfaces (EA4496) [MECASURF]
303092 Arts et Métiers Paristech ENSAM Aix-en-Provence

URI
https://cfm2019.sciencesconf.org/246924
http://hdl.handle.net/10985/18497
Date
2019

Résumé

For the sake of understanding the behaviour of a polycrystal at its grain scale, Finite Element (FE) numerical simulations can be performed, taking into account the physical properties of each grain. Those simulations must take into account the phase heterogeneities, the local anisotropies and the crystalline orientations as well. In addition, the actual grain morphologies must be well described in order to model localization phenomena. An algorithm, named MTEX2Gmsh, is proposed to automatically generate an EF mesh from EBSD data. The resulting mesh gives smooth and accurate descriptions of the grain boundaries together with reduced Degrees of Freedom (DoF), hence limited computational times. Using this algorithm, the fragile-elastic behaviour of a ceramic and micro-plasticity phenomena in a nitrided steel are studied as application cases. The latter is based on a crystal-plasticity model for the ferrite phase.

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  • Laboratoire Mechanics, Surfaces and Materials Processing (MSMP)

Documents liés

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  • Radical Voronoï tessellation from random pack of polydisperse spheres: Prediction of the cells’ size distribution 
    Article dans une revue avec comité de lecture
    DEPRIESTER, Dorian; KUBLER, Régis (Elsevier, 2019)
    This paper investigates the relevance of the representation of polycrystalline aggregates using RadicalVoronoï(RV)tessellation,computedfromRandomClosePacks(RCP)ofsphereswithradiusdistributionfollowing a lognormal distribution. ...
  • Resolution of the Wicksell's equation by Minimum Distance Estimation 
    Article dans une revue avec comité de lecture
    ccDEPRIESTER, Dorian; ccKUBLER, Regis (International Society for Stereology, 2019)
    The estimation of the grain size in granular materials is usually performed by 2Dobservations. Unfolding the grain size distribution from apparent 2D sizes is commonly referred as the corpuscle problem. For spherical ...
  • MTEX2Gmsh: a tool for generating 2D meshes from EBSD data 
    Article dans une revue avec comité de lecture
    ccDEPRIESTER, Dorian; ccKUBLER, Regis (Open Journals, 2020)
    In material sciences applied to crystalline materials, such as metals or ceramics, the grain morphology (size and shape) and the crystallographic texture are of great importance for understanding the macroscopic behaviour ...
  • Radical Voronoï tessellation from random pack of polydisperse spheres: Prediction of the cells’ size distribution 
    Article dans une revue avec comité de lecture
    ccDEPRIESTER, Dorian; ccKUBLER, Regis (Elsevier, 2018)
    This paper investigates the relevance of the representation of polycrystalline aggregates using Radical Vorono (RV) tessellation, computed from Random Close Packs (RCP) of spheres with radius distribution following a ...
  • Grain size estimation in polycrystals: Solving the corpuscle problem using Maximum Likelihood Estimation 
    Article dans une revue avec comité de lecture
    ccDEPRIESTER, Dorian; ccKUBLER, Regis (Elsevier BV, 2021)
    In materials science, the microstructures of materials are generally characterized by 2D observation (e.g. electron microscopy). For polycrystalline materials, such as crystalline rocks or ceramics, those observations can ...

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