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Lattice support structure discrete optimization for additive manufacturing

Communication avec acte
Auteur
VAISSIER, Benjamin
ccPERNOT, Jean-Philippe
58355 École Nationale Supérieure des Arts et Métiers [ENSAM]
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]
ccVERON, Philippe

URI
http://hdl.handle.net/10985/19984
Date
2018

Résumé

The emergence and improvement of Additive Manufacturing technologies allow the fabrication of complex shapes so far inconceivable. However, to produce those intricate geometries, support structures are required. Besides wasting unnecessary material, these structures are consuming valuable production and post-processing times. This paper proposes a new framework to optimize the geometry and topology of inner and outer support structures. Starting from a uniform lattice structure filling both the inner and outer areas to be supported, the approach removes a maximum number of beams so as to minimize the volume of the support. The geometry of the initial lattice structure is optimized at the beginning considering the possibilities of the manufacturing technologies. Then, the pruning of the structure is performed through a genetic algorithm, the parameters of which have been optimized through a design of experiments. The proposed approach is validated on several test cases of various geometries, containing both inner and outer parts to be supported. The generated support structures are compared to the ones obtained by commercial software.

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LISPEN_SPM_2018_PERNOT.pdf
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  • Laboratoire d’Ingénierie des Systèmes Physiques Et Numériques (LISPEN)

Documents liés

Visualiser des documents liés par titre, auteur, créateur et sujet.

  • Parametric design of graded truss lattice structures for enhanced thermal dissipation 
    Article dans une revue avec comité de lecture
    VAISSIER, Benjamin; CHOUGRANI, Laurent; ccPERNOT, Jean-Philippe; ccVERON, Philippe (Elsevier, 2019)
    Truss lattice structures are intricate geometries, whose fabrication has recently been simplified by the development of Additive Manufacturing (AM) technologies. These lightweight geometries present great volume densities ...
  • Investigation on reducing geometry files size through floating points indexing 
    Communication avec acte
    VAISSIER, Benjamin; CHOUGRANI, Laurent; ccPERNOT, Jean-Philippe; ccVERON, Philippe (CAD Solutions, LLC, 2019)
    In a context of full cooperative data exchanges, frequent transfers between specialized software and remote design and manufacturing, fluidity is the key. It is thus important to reduce the size of data encoding files in ...
  • Genetic-algorithm based framework for lattice support structure optimization in additive manufacturing 
    Article dans une revue avec comité de lecture
    VAISSIER, Benjamin; CHOUGRANI, Laurent; ccPERNOT, Jean-Philippe; ccVERON, Philippe (Elsevier, 2019)
    The emergence and improvement of Additive Manufacturing technologies allow the fabrication of complex shapes so far inconceivable. However, to produce those intricate geometries, support structures are required. Besides ...
  • 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 ...
  • Parts internal structure definition using lattice patterns optimization for mass reduction in additive manufacturing 
    Communication avec acte
    CHOUGRANI, Laurent; ABED, Stéphane; ccPERNOT, Jean-Philippe; ccVERON, Philippe (2016)
    With the rise of additive manufacturing, complex internal structure optimization is now a relevant topic. Additive manufacturing allows designers and engineers to go further in their modeling, designing and optimization ...

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