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  Experimental and numerical study of a new hybrid process: multi-point incremental forming (MPIF) 

  Article dans une revue avec comité de lecture

  BOUDHAOUIA, Safa; GAHBICHE, Mohamed Amen; AYED, Yessine; GIRAUD, Eliane; BEN SALEM, Wacef; DAL SANTO, Philippe (Springer Science and Business Media LLC, 2017-12-21)

  Multi-Point Incremental Forming (MPIF) process is a new hybrid process that combines two common manufacturing methods. These are Multipoint Forming (MPF) and Incremental Sheet Forming (ISF) processes. In this study, an ...
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  Experimental and numerical investigation of the mechanical behavior of the AA5383 alloy at high temperatures 

  Article dans une revue avec comité de lecture

  DU, Rou; MAREAU, Charles; AYED, Yessine; GIRAUD, Eliane; DAL SANTO, Philippe (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 ...
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  Effect of cryogenic assistance on hole shrinkage during Ti6Al4V drilling 

  Article dans une revue avec comité de lecture

  MERZOUKI, Johan; POULACHON, Gérard; ROSSI, Frédéric; AYED, Yessine; ABRIVARD, Guillaume (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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  Recent Advances on Cryogenic Assistance in Drilling Operation: A Critical Review 

  Article dans une revue avec comité de lecture

  LIU, Hongguang; BIREMBAUX, Hélène; AYED, Yessine; ROSSI, Frédéric; 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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  Assessing Sensor Integrity for Nuclear Waste Monitoring Using Graph Neural Networks 

  Article dans une revue avec comité de lecture

  HEMBERT, Pierre; GHNATIOS, Chady; COTTON, Julien; 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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  Empowering optimal transport matching algorithm for the construction of surrogate parametric metamodel 

  Article dans une revue avec comité de lecture

  JACOT, Maurine; CHAMPANEY, Victor; 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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  An Agent-Based Model to Reproduce the Boolean Logic Behaviour of Neuronal Self-Organised Communities through Pulse Delay Modulation and Generation of Logic Gates 

  Article dans une revue avec comité de lecture

  IRASTORZA-VALERA, Luis; BENITEZ, Jose; MONTÁNS, Francisco Javier; SAUCEDO-MORA, Luis (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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