SAM: Recent submissions

Now showing items 4284-4290 of 6444

    • Flow modelling of quasi-Newtonian fluids in two-scale fibrous fabrics: Advanced simulations 
      Article dans une revue avec comité de lecture
      ccAMMAR, Amine; ccABISSET-CHAVANNE, Emmanuelle; ccCHINESTA SORIA, Francisco; KEUNINGS, Roland (Springer Verlag, 2016)
      Permeability is the fundamental macroscopic material property needed to quantify the flow in a fibrous medium viewed as a porous medium. Composite processing models require the permeability as input data to predict flow ...
    • Chemical Master Equation Empirical Moment Closure 
      Article dans une revue avec comité de lecture
      ccAMMAR, Amine; MAGNIN, Morgan; ROUX, Olivier; ccCUETO, Elias; ccCHINESTA SORIA, Francisco (Omics Publishing Group, 2016)
      The numerical solution of the Chemical Master Equation (CME) governing gene regulatory networks and cell signaling processes remains a challenging task due to its complexity, exponentially growing with the number of species ...
    • Using voxels in the simulation of manufacturing processes 
      Communication avec acte
      SURLERAUX, Anthony; BIGOT, Samuel; D'URSO, Gianluca; MERLA, Cristina; ccPERNOT, Jean-Philippe (2015)
      The present paper introduces the use of voxels embedded in an octree structure in order to numerically simulate manufacturing processes. In particular, micro electrical discharge machining (μEDM) is used here as a case ...
    • Molecular mobility with respect to accessible volume in Monte Carlo lattice model for polymers 
      Article dans une revue avec comité de lecture
      DIANI, Julie; GILORMINI, Pierre (Elsevier, 2017)
      A three-dimensional cubic Monte Carlo lattice model is considered to test the impact of volume on the molecularmobility of amorphous polymers. Assuming classic polymer chain dynamics, the concept of locked volume limiting ...
    • Estimation of CAD model simplification impact on CFD analysis using machine learning techniques 
      Communication avec acte
      FINE, Lionel; ccPERNOT, Jean-Philippe; ccDANGLADE, Florence; ccVERON, Philippe (2015)
      This paper adresses the way machine learning techniques based on neural networks can be used to predict the impact of simplification processes on CAD model for heat transfer FEA purposes.
    • Comparison of Optimized Control Strategies of a High-Speed Traction Machine with Five Phases and Bi-Harmonic Electromotive Force 
      Article dans une revue avec comité de lecture
      ZAHR, Hussein; GONG, Jinlin; ccSEMAIL, Eric; ccSCUILLER, Franck (MDPI, 2016)
      The purpose of the paper is to present the potentialities in terms of the control of a new kind of PM synchronous machine. With five phases and electromotive forces whose first (E1) and third (E3) harmonics are of similar ...
    • A volumetric energy based high cycle multiaxial fatigue citerion 
      Article dans une revue avec comité de lecture
      BANVILLET, ALexis; ccPALIN-LUC, Thierry; LASSERRE, Serge (Elsevier, 2003)
      A reliable design of industrial parts against high-cycle multiaxial fatigue requires a fatigue criterion capable of predicting both the stress gradient and the load-type effects. These effects are very important in the ...