JOURNAL ARTICLE

Mechanical Behavior of 3D Printed Stochastic Lattice Structures

G. MaliarisElias Sarafis

Year: 2016 Journal:   Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena Vol: 258 Pages: 225-228   Publisher: Scientific.net

Abstract

Stochastic lattice structures are modeled using a generative algorithm. In particular, the voronoi tessellation technique is applied for modeling cellular solids with irregular cell geometry and variable strut sections. The ligaments are formed considering the volume and shape characteristics of the voronoi cells. This way, the strut cross section variability is linked to the adjacent cell topology. The developed geometry is used for 3D printing the structures through a high accuracy SLA 3D printer. The mechanical properties of the photosensitive resin were determined by conducting tension experiments on appropriate 3D printed specimens. The printed stochastic structures were subjected to compressive loads in order to investigate their mechanical response. A finite element model of the compressive tests using the generated geometry, is also developed. The calculated results provide a good correlation with the experimental ones and also provide precious insight for the characterization of the mechanical behavior of the tested structures.

Keywords:
Voronoi diagram Tessellation (computer graphics) Lattice (music) Geometry Stochastic geometry Finite element method Materials science Topology (electrical circuits) Structural engineering Mathematics Engineering Physics Acoustics

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34
Cited By
1.70
FWCI (Field Weighted Citation Impact)
0
Refs
0.86
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Citation History

Topics

Cellular and Composite Structures
Physical Sciences →  Engineering →  Mechanical Engineering
3D Shape Modeling and Analysis
Physical Sciences →  Engineering →  Computational Mechanics
Innovations in Concrete and Construction Materials
Physical Sciences →  Engineering →  Building and Construction
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