SAM: Soumissions récentes
Voici les éléments 332-338 de 6547
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Article dans une revue avec comité de lecture;
MAREAU, Charles; AYED, Yessine; ; (Elsevier BV, 2020-01-27)
Because of its excellent properties, such as good corrosion resistance, high specific strength and important ductility, the AA5383 aluminum alloy is largely employed for naval applications. In this work, the mechanical ... -
Article dans une revue avec comité de lecture;POULACHON, Gerard; ROSSI, FREDERIC; AYED, Yessine; (Springer Science and Business Media LLC, 2020-06-12)
This paper focuses on the impact of cryogenic assistance on the drilling of Ti6Al4V titanium alloy. It develops a relation between the phenomenon of hole shrinkage and measurements performed either during or after the ...
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Article dans une revue avec comité de lecture; ;AYED, Yessine; ROSSI, FREDERIC; POULACHON, Gerard (ASME International, 2022-06-09)
Drilling operation with cryogenic assistance is beneficial toward solving critical issues in machining difficult-to-cut materials and structures, especially in terms of improving surface integrity, elongating tool life, ...
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Article dans une revue avec comité de lectureHEMBERT, Pierre; GHNATIOS, Chady; ; CHINESTA SORIA, Francisco (MDPI AG, 2024-02)
A deep geological repository for radioactive waste, such as Andra’s Cigéo project, requires long-term (persistent) monitoring. To achieve this goal, data from a network of sensors are acquired. This network is subject to ...
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Article dans une revue avec comité de lectureJACOT, Maurine; ; TORREGROSA JORDAN, Sergio; CORTIAL, Julien; CHINESTA SORIA, Francisco (EDP Sciences, 2024-03)
Resolving Partial Differential Equations (PDEs) through numerical discretization methods like the Finite Element Method presents persistent challenges associated with computational complexity, despite achieving a satisfactory ...
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Article dans une revue avec comité de lecture;BENITEZ, Jose; ; (MDPI AG, 2024-02)
The human brain is arguably the most complex “machine” to ever exist. Its detailed functioning is yet to be fully understood, let alone modelled. Neurological processes have logical signal-processing and biophysical aspects, ...
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Article dans une revue avec comité de lectureGUILHAUMON, Clara; HASCOËT, Nicolas; ; CHINESTA SORIA, Francisco; DAIM, Fatima (MDPI AG, 2024-02)
Machine learning approaches are currently used to understand or model complex physical systems. In general, a substantial number of samples must be collected to create a model with reliable results. However, collecting ...
