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A novel method for tailoring elasticity distributions of functionally graded porous materials.

Authors :
Liu, Bin
Chen, Huihui
Cao, Wei
Source :
International Journal of Mechanical Sciences. Jul2019, Vol. 157, p457-470. 14p.
Publication Year :
2019

Abstract

• The elasticity distributions of foams are tailored in 3D domain. • The foam modeling and additive manufacturing are integrated for the efficient design. • The stochastic porous structures are continuously graded, producing naturally realistic appearance. • A mapping model from a tailored elasticity to the corresponding graded structures is formulated. As foams having hierarchical mechanical properties, functionally graded porous materials (FGPMs) can satisfy multifold functional constraints whilst minimizing weight. In this paper, a novel method is proposed for goal-driven design and fabrication of open-cell FGPMs with tailored elasticity distributions. To achieve the continuity in both structural geometry and mechanical properties, irregularly smooth porous structures, which have naturally realistic appearance, are designed by combining 3D Voronoi diagrams and skeleton-based implicit surfaces. A procedural modeling method integrating additive manufacturing (AM) is developed for avoiding the FGPM full representations which consume tremendous computational memory. For easily mapping the graded porous structures to yield tailored elasticity distributions, a mapping model from the elasticity distribution to the density field is formulated. The method is experimentally and numerically validated. Additionally, the compression tests showed the superior mechanical performance compared to straight-beam-based foams, and the stiffness and strength of the foam are found to be improved as a result of FGPMs. This research opens up a new route of tailoring the novel foams. Image, graphical abstract [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00207403
Volume :
157
Database :
Academic Search Index
Journal :
International Journal of Mechanical Sciences
Publication Type :
Academic Journal
Accession number :
136984017
Full Text :
https://doi.org/10.1016/j.ijmecsci.2019.05.002