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Dernière mise à jour : Mai 2018

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Importance of the porous network induced by additive manufacturing in the mechanical behavior

Pore network revealed X-ray tomography and prediction of the mechanical behavior of a solid
A mechanical model is developed to understand the central role of defects induced by additive manufacturing. This model combines microstructural information acquired using X-ray micro-tomography and mechanical testing conditions.

The explicit implementation of defect geometry and distribution demonstrates the importance of the porous network induced by processing on the mechanical performance of the printed parts. The numerical predictions point out the lack of cohesion between filaments as responsible for the observed mechanical anisotropy.

Partnerships :

This project is funded by IBSM federation and involved several partners including INRA research unit BIA, CNRS UMR 6144 and Ecole des Mines of Douai.

References :
  • Sofiane Guessasma, Sofiane Belhabib, Hedi Nouri, Significance of pore percolation to drive anisotropic effects of 3D printed polymers revealed with X-ray -tomography and finite element computation, Polymer, 81, (2015) 29-36.
  • Sofiane Guessasma, Weihong Zhang, Jihong Zhu, Sofiane Belhabib, Hedi Nouri, Challenges of additive manufacturing technologies from an optimisation perspective, International Journal for Simulation and Multidisciplinary Design Optimization, 6, (2016) A9.
  • Ben Hassana , O., Guessasma , S., Belhabib, S., Nouri, H., 2016. Explaining the Difference Between Real Part and Virtual Design of 3D Printed Porous Polymer at the Microstructural Level. Macromolecular Materials and Engineering, accepted.