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Parametric design of graded truss lattice structures for enhanced thermal dissipation

Article dans une revue avec comité de lecture
Auteur
VAISSIER, Benjamin
CHOUGRANI, Laurent
475262 Poly-Shape
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/10985/16741
Date
2019
Journal
Computer-Aided Design

Résumé

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 and surface-to-occupancy ratios, which makes them ideal for thermal dissipation applications. This paper introduces a new framework for the parametric design of graded truss lattice structures that maximize passive cooling. It exploits the results of a semi-analytic formulation and analysis of the volume density and surface-to-occupancy ratio of state-of-the-art unit cells. In particular, it comes out that any truss lattice structure presents an optimal beam diameter over unit cell size ratio that maximizes its surface-to-occupancy value. This value and the ratio for which it is reached are identified and compared for the most common unit cells. The unit cell with the maximal surface-to-occupancy ratio is then identified, along with its set of optimal parameters, taking into account additive manufacturing constraints. The validation of this optimal geometry is performed by populating pre-defined design spaces of both academic and industrial case studies. An orientation strategy and a parametric gradation approach are also proposed to further optimize the generated heat sinks and maximize passive cooling. These results are very helpful to support decision making during the parametric design of a heat sink and to identify, a priori, the optimal unit cell, its control parameters, its orientation and its gradation strategy. The generated geometries are compared with traditional heat sink structures through static heat dissipation simulations, in order to demonstrate their interest.

Fichier(s) constituant cette publication

Nom:
LISPEN_CAD_2019_PERNOT.pdf
Taille:
3.044Mo
Format:
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Fin d'embargo:
2020-10-01
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  • Laboratoire d’Ingénierie des Systèmes Physiques Et Numériques (LISPEN)

Documents liés

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  • 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 ...
  • Lattice support structure discrete optimization for additive manufacturing 
    Communication avec acte
    VAISSIER, Benjamin; ccPERNOT, Jean-Philippe; ccVERON, Philippe (ACM Digital Library Proceedings, 2018)
    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 ...
  • 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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