Zobrazeno 1 - 10
of 197
pro vyhledávání: '"Proudhon Henry"'
Fatigue failure driven by stress gradients associated to casting defects was studied in two cast nickel-based superalloys. The experimental campaign revealed complex damage phenomena linked to spongeous shrinkages, characterized by their intricate ar
Externí odkaz:
http://arxiv.org/abs/2407.19519
Autor:
Fernandes, Lucas Monteiro, Rieder, Philipp, Neumann, Matthias, Mulard, Aude, Proudhon, Henry, Schmidt, Volker, Willot, François
We investigate the influence of crystallographic twins on the elastoplastic response of $\gamma$-TiAl intermetallics via full-field FFT-based computations. We first introduce a hierarchical stochastic model, which is used to simulate synthetic polycr
Externí odkaz:
http://arxiv.org/abs/2402.09996
Autor:
Rieder, Philipp, Neumann, Matthias, Fernandes, Lucas Monteiro, Mulard, Aude, Proudhon, Henry, Willot, François, Schmidt, Volker
A stochastic 3D microstructure model for polycrystals is introduced which incorporates two types of twin grains, namely neighboring and inclusion twins. They mimic the presence of crystal twins in $\gamma$-TiAl polycrystalline microstructures as obse
Externí odkaz:
http://arxiv.org/abs/2401.08349
Publikováno v:
In International Journal of Plasticity December 2024 183
Publikováno v:
In International Journal of Fatigue November 2024 188
Autor:
Rajakumaran, Vasuki, Melelli, Alessia, Quiles, Anita, Weitkamp, Timm, Perrin, Jonathan, Proudhon, Henry, Bourmaud, Alain, Beaugrand, Johnny, Guessasma, Sofiane
Publikováno v:
In Industrial Crops & Products 15 October 2024 218
Autor:
Texier, Damien, Richeton, Thiebaud, Proudhon, Henry, Dziri, Ayyoub, Sirvin, Quentin, Legros, Marc
Publikováno v:
In Materials Characterization October 2024 216
Publikováno v:
In Materials & Design October 2024 246
Publikováno v:
In Scripta Materialia 1 March 2025 257
Publikováno v:
Front. Mater., 25 November 2021 Sec. Computational Materials Science
X-ray Computed Tomography (XCT) techniques have evolved to a point that high-resolution data can be acquired so fast that classic segmentation methods are prohibitively cumbersome, demanding automated data pipelines capable of dealing with non-trivia
Externí odkaz:
http://arxiv.org/abs/2107.07468