Microstructure-dependent predictions of the effect of defect size and shape on the high-cycle fatigue strength
GUERCHAIS, Raphaël
Laboratoire des Arts et Métiers ParisTech d'Angers - Procédés Matériaux Durabilité [LAMPA - PMD]
Laboratoire des Arts et Métiers ParisTech d'Angers - Procédés Matériaux Durabilité [LAMPA - PMD]
MOREL, Franck
Laboratoire des Arts et Métiers ParisTech d'Angers - Procédés Matériaux Durabilité [LAMPA - PMD]
Laboratoire des Arts et Métiers ParisTech d'Angers - Procédés Matériaux Durabilité [LAMPA - PMD]
GUERCHAIS, Raphaël
Laboratoire des Arts et Métiers ParisTech d'Angers - Procédés Matériaux Durabilité [LAMPA - PMD]
Laboratoire des Arts et Métiers ParisTech d'Angers - Procédés Matériaux Durabilité [LAMPA - PMD]
MOREL, Franck
Laboratoire des Arts et Métiers ParisTech d'Angers - Procédés Matériaux Durabilité [LAMPA - PMD]
< Leer menos
Laboratoire des Arts et Métiers ParisTech d'Angers - Procédés Matériaux Durabilité [LAMPA - PMD]
Idioma
en
Communication dans un congrès avec actes
Este ítem está publicado en
11th International Conference on Multiaxial Fatigue & Fracture (ICMFF11), Conference on Multiaxial Fatigue & Fracture (11; 2016; Seville), 2016, Seville. 2016p. 8
Resumen
This study aims to investigate the effects of both the microstructure and void on the high-cycle fatigue behavior of metallic materials. To deal with this matter, finite element analyses of polycrystalline aggregates ...Leer más >
This study aims to investigate the effects of both the microstructure and void on the high-cycle fatigue behavior of metallic materials. To deal with this matter, finite element analyses of polycrystalline aggregates are carried out, for different configurations of crystalline orientations, in order to estimate the mechanical state, at the grain scale, in the vicinity of a small elliptical hole. Fatigue criteria are then applied to predict the average fatigue limit in fully reversed tension, for different defect sizes and ellipse aspect ratios. The constitutive models and the fatigue criteria are calibrated using experimental data obtained from specimens made of 316L austenitic steel . The predictions are then confronted to experimental trends .< Leer menos
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