SAM: Soumissions récentes
Voici les éléments 981-987 de 6447
-
Article dans une revue avec comité de lecture(AIP Publishing LLC, 2022-10)Polycrystalline materials exhibit physical properties that are driven by both the interatomic crystallographic structure as well as the nature and density of structural defects. Crystallographic evolutions driven by phase ...
-
Article dans une revue avec comité de lecture(MDPI, 2022-09)The formation of a white etching layer (WEL), a very hard and brittle phase on the rail surface, is associated with a progressive transformation of the pearlitic grain to very fragmented grains due to the cumulative passage ...
-
Article dans une revue avec comité de lecture(ELSEVIER, 2023-02)In order to predict the lifetime of railtrack components, numerical models are required to better describe the apparition of microstructural defects that lead to material failure. In pearlitic steels, the severe mechanical ...
-
Article dans une revue avec comité de lecture(Elsevier, 2022-11)The aim of this paper is to develop a model allowing a fast first approximate estimation of the elastic–plastic stress wave propagation caused by a laser impact and the resulting residual stress field. We start by modeling ...
-
Article dans une revue avec comité de lecture(MDPI AG, 2022-09)As one of the key components, low-speed direct-drive in-wheel machines with high compact volume and high torque density are important for the traction system of electric vehicles (EVs). This paper introduces four different ...
-
Article dans une revue avec comité de lecture(Elsevier, 2022-10)Thermo-hydrodynamic phenomena which take place during laser welding or additive manufacturing processes as laser powder bed fusion, have been investigated for years, but recent advances in X-ray images and in situ analysis ...
-
Article dans une revue avec comité de lecture(Springer Science and Business Media LLC, 2022-04-13)Identifcation and ftting is an important task in reverse engineering and virtual/augmented reality. Compared to the traditional approaches, carrying out such tasks with a deep learning-based method have much room to ...