SAM: Soumissions récentes
Voici les éléments 3029-3035 de 6547
-
Article dans une revue avec comité de lecture; ; ; ;
ABISSET-CHAVANNE, Emmanuelle; CHINESTA SORIA, Francisco (MDPI, 2019)
This paper concerns engineered composites integrating metallic particles to enhance thermal and electrical properties. However, these properties are strongly dependent on the forming process itself that determines the ... -
Article dans une revue avec comité de lecture(Springer Verlag, 2016)We report results from axisymmetric deformation experiments carried out on forsterite aggregates in the deformation-DIA apparatus, at upper mantle pressures and temperatures (3.1–8.1 GPa, 1373–1673 K). We quantified the ...
-
Article dans une revue avec comité de lecture; ;CLARAMUNT, Christophe (Elsevier, 2018)
Nowadays, location-based data collected by GPS-equipped devices such as smartphones and cars are often stored as spatio-temporal sequences of points denoted as trajectories. The analysis of the large generated trajectory ...
-
Article dans une revue avec comité de lecture;PEYRE, Patrice; ; ; BAUDIN, Thierry; ; ; (Elsevier, 2016)
Titanium Matrix Composites (TMC's) containing various volume fractions of (TiB+TiC) particles have been deposited from powder feedstocks consisting of a blend of pre-alloyed (Ti-6Al-4V+B4C) powders, using the direct metal ...
-
Article dans une revue avec comité de lecture; ;DAZIN, Antoine; BAYEUL-LAINÉ, Annie-Claude (IOP Publishing, 2019)
The realization and the validation of a simulation in fluid mechanics require an indepth expertise of the modelling process. However, how could the results be guaranteed if they were not accompanied by experimental ...
-
Communication avec acte; ; ; ;BAYEUL-LAINÉ, Annie-Claude (ISROMAC 2017, 2017)
The effect of non-sinusoidal trajectory on the propulsive performances and the vortex shedding process behind a flapping airfoil is investigated in this study. A movement of a rigid NACA 0012 airfoil undergoing a combined ...
-
Communication avec acte;BOUDRAA, Abdel-Ouahab; ; (2017)
La notion de mesure de similarité est très importante dans de nombreux domaines tels que l’apprentissage statistique, la fouille de données ou les sciences cognitives. Dans cet article, nous nous intéressons à la similarité ...
