2008
DOI: 10.1016/j.ijplas.2007.10.004
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3D simulations of microstructure and comparison with experimental microstructure coming from O.I.M analysis

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Cited by 74 publications
(36 citation statements)
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“…The generation of synthetic polycrystalline microstructures has been the subject of numerous studies (Groeber et al, 2008;St-Pierre et al, 2008;Bhandari et al, 2007;Fritzen et al, 2009). Among the most widely used methods, the simplest is to create grains of the same topology and to duplicate them in order to fill the entire volume of the microstructure.…”
Section: The Numerical Modelmentioning
confidence: 99%
“…The generation of synthetic polycrystalline microstructures has been the subject of numerous studies (Groeber et al, 2008;St-Pierre et al, 2008;Bhandari et al, 2007;Fritzen et al, 2009). Among the most widely used methods, the simplest is to create grains of the same topology and to duplicate them in order to fill the entire volume of the microstructure.…”
Section: The Numerical Modelmentioning
confidence: 99%
“…Geometrical models, in comparison, are conceptually simpler and computationally cheaper. A polycrystal can for example be represented by a packing of ellipsoids combined with simple growth [25]. These approaches generally provide microstructures of high fidelity but do not offer full control on them.…”
Section: Introductionmentioning
confidence: 99%
“…The evolution and distribution of surface strains is typically a direct output of modeling tools such as CP-FEM, and these quantities are also measurable using modern digital image correlation (DIC) methods [8,10,[12][13][14]. Both random and regular patterns can be used for DIC analysis, and for the present study a regular grid of points was milled onto the top surface of the micro-tensile samples prior to testing using the FIB-SEM.…”
Section: Surface Strain Mappingmentioning
confidence: 99%
“…These have largely involved studies where only the surface microstructure of a mechanical test specimen has been experimentally determined and subsequently used as input for either 2D or quasi-3D simulations [5][6][7], or to approximate the 3D microstructure of a simplified material (i.e., very large grain materials where the sub-surface microstructure is assumed to be columnar) [8][9][10][11][12]. St-Pierre collected 2D electron backscatter diffraction (EBSD) scans of the surface microstructure of a tensile sample and used microstructure statistics to generate a 3D mesh of the tensile sample with the experimental surface and a realistic sub-surface virtual microstructure [13]. Musienko utilized successive electropolishing on a post-deformation tensile specimen combined with EBSD scans to determine the 3D microstructure from a small volume in a region-ofinterest near the specimen surface, which was subsequently meshed and simulated to compare to the tensile experiment [14].…”
Section: Introductionmentioning
confidence: 99%