Nos laboratoires: Soumissions récentes

Voici les éléments 1534-1540 de 6547

    • How do global sagittal alignment and posture change after total hip arthroplasty? 
      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 ...
    • Relationship between Chemical Composition and Ms Temperature in High-Entropy Shape Memory Alloys 
      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 ...
    • A general method to accurately simulate material removal in virtual machining of flexible workpieces 
      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 ...
    • Lightweight Mesh File Format Using Repetition Pattern Encoding for Additive Manufacturing 
      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 ...
    • Deep learning of thermodynamics-aware reduced-order models from data 
      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 ...
    • Failure analysis of shot–sleeves used in brass high pressure die–casting process 
      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 ...
    • 2D/3D Semantic Annotation of Spatialized Images for the Documentation and Analysis of Cultural Heritage 
      Communication avec acte
      MANUEL, Adeline; DE LUCA, LIVIO; ccVERON, Philippe (Eurographics, 2016)
      The introduction of digital technologies in the documentation methods for cultural heritage has helped to design new tools for the acquisition and management of information collected for multidisciplinary studies. These ...