Now showing items 1533-1539 of 6547

    • Article dans une revue avec comité de lecture
      RENGIFO, Carolina; MOHELLEBI, Hakim; PAILLOT, Damien; KEMENY, Andras; ccCHARDONNET, Jean-Rémy (SAGE Publications, 2021)
      Faithful motion restitution in driving simulators normally focuses on track monitoring and maximizing the platform workspace by leaving aside the principal component—the driver. Therefore, in this work we investigated the ...
    • Article dans une revue avec comité de lecture
      KIM, Youngwoo; POUR, Aidin Eslam; LAZENNEC, Jean Yves (Springer Science and Business Media LLC, 2019)
      Background: Postural change after total hip arthroplasty (THA) is still a matter of discussion. Previous studies have mainly concentrated on the pelvic motions. We report the post-operative changes of the global sagittal ...
    • Article dans une revue avec comité de lecture
      PELTIER, Laurent; ccMERAGHNI, Fodil; ccBERVEILLER, Sophie; LOHMULLER, Paul; LAHEURTE, Pascal (Springer Science and Business Media LLC, 2021)
      Five high entropy alloys with shape memory effect or superelastic effect were prepared by cold crucible melting to understand the effect of their chemical composition on the transformation temperatures. The microstructure ...
    • Rapport de recherche
      COFFIGNAL, Gérard; ILLOUL, Lounes; ccLORONG, Philippe (2015)
      Multi-axis milling and other computer numerical control machining processes allow us to create very complex geometries and thin parts. In this context, virtual machining is a powerful tool, but the simultaneous vibrations ...
    • Article dans une revue avec comité de lecture
      VAISSIER, Benjamin; CHOUGRANI, Laurent; VÉRON, Philippe; ccPERNOT, Jean-Philippe (Elsevier, 2020)
      To facilitate the transfer, storage and manipulation of intricate parts’ geometry whose fabrication has been made possible thanks to the rise of Additive Manufacturing (AM) technologies, an encoding framework reducing the ...
    • Article dans une revue avec comité de lecture
      HERNANDEZ, Quercus; BADIAS, Alberto; GONZALEZ, David; ccCHINESTA SORIA, Francisco; ccCUETO, Elias (Elsevier, 2021)
      We present an algorithm to learn the relevant latent variables of a large-scale discretized physical system and predict its time evolution using thermodynamically-consistent deep neural networks. Our method relies on sparse ...
    • Article dans une revue avec comité de lecture
      ABID, Dorra; MELLOULI, Dhouha; GAFSI, Nedia; HADDAR, Nader; ccKTARI, Ahmed (Elsevier, 2019)
      A failure investigation has been conducted on a two cases of shot-sleeve used in brass–die casting and made up of AISI H10 tool steels to study their failure mechanisms. The chemical composition of the shot–sleeves material ...