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Naim Naouar

Researcher at University of Lyon

Publications -  36
Citations -  794

Naim Naouar is an academic researcher from University of Lyon. The author has contributed to research in topics: Finite element method & Bending. The author has an hindex of 8, co-authored 34 publications receiving 536 citations. Previous affiliations of Naim Naouar include Snecma & Institut national des sciences Appliquées de Lyon.

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Meso-scale FE analyses of textile composite reinforcement deformation based on X-ray computed tomography

TL;DR: In this paper, a direct method using computed tomography to determine finite element models based on the real geometry of the textile reinforcement is presented, where the determination of the fiber direction at each point of the model is detailed.
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Bending and wrinkling of composite fiber preforms and prepregs. A review and new developments in the draping simulations

TL;DR: In this article, a generalized continuum mechanics model is used to simulate textile reinforcements with shells, which can correctly calculate the rotations of textile reinforcement normals, and wrinkles can be simulated by introducing a flexural energy related to the bending moment and curvature.
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3D composite reinforcement meso F.E. analyses based on X-ray computed tomography

TL;DR: In this article, a meso-fe analysis of 3D textile reinforcements is performed in the event of transverse compaction of a 3D orthogonal reinforcement, and the deformation of yarns' geometry in the simulation is compared with real conditions.
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Simulation of thermoplastic prepreg thermoforming based on a visco-hyperelastic model and a thermal homogenization

TL;DR: In this article, the simulation of thermoplastic prepreg forming is achieved by alternating thermal and forming analyses, where the thermal properties are obtained from a mesoscopic analysis and a homogenization procedure.
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Coupled meso-macro simulation of woven fabric local deformation during draping

TL;DR: In this article, a meso-level simulation of yarn buckling and yarn distortion is presented by coupling continuous macro draping simulation with a local meso modelling in the location where the defects are expected to occur.