2019
DOI: 10.1007/s42452-019-0382-y
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Predicting the elastic properties of closed-cell aluminum foams: a mesoscopic geometric modeling approach

Abstract: The biggest challenge in predicting the elastic properties of closed-cell aluminum foams is capturing the actual geometrical and topological characteristics precisely and efficiently such that the model can be used to predict the mechanical properties of the real foam accurately. This paper presents a mesoscopic modeling approach for constructing a geometric model that captures these characteristics and can be used to predict its elastic properties. The modeling approach introduces a new method for finding the… Show more

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Cited by 7 publications
(4 citation statements)
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“…[66] Voronoi tessellation is a space division technique developed by mathematician G.F.Voronoi in 1905. This method produces regions called "cells" from a set of points called "seeds", and it has the characteristic property that any point within a cell will be closer to the cell's seed than any other point in the space [67,68]. Voronoi cells offer an element of randomization in the structure which is the primary difference between the lattices and Voronoi cells.…”
Section: Voronoi Cellsmentioning
confidence: 99%
“…[66] Voronoi tessellation is a space division technique developed by mathematician G.F.Voronoi in 1905. This method produces regions called "cells" from a set of points called "seeds", and it has the characteristic property that any point within a cell will be closer to the cell's seed than any other point in the space [67,68]. Voronoi cells offer an element of randomization in the structure which is the primary difference between the lattices and Voronoi cells.…”
Section: Voronoi Cellsmentioning
confidence: 99%
“…The thus achieved higher flexibility allows for better control over cell sizes, see Figure 4. Laguerre tessellations generated by random closed packings of spheres are a standard model for rigid foams [52][53][54][55] and popular models for polycrystals [5]. Methods for fitting in the statistical sense [52], reconstruction from 2D images [56] or cell centroids and volumes in 3D [21], as well as approximation based on 3D image data [20] are available.…”
Section: Laguerre Tessellationsmentioning
confidence: 99%
“…In this section, we consider a closed‐cell foam, see Figure 1B. Following Abdullahi et al, 61 the microstructure was generated by shrinking the cells of a Laguerre tessellation, where we use the Newton algorithm discussed in Kuhn et al 62 to generate 27 Laguerre cells of equal volume. The resulting foam has a volume fraction of 11.6%, and was discretized by 1283 voxels.…”
Section: Computational Examplesmentioning
confidence: 99%
“…(A) Short-fiber composite 60. (B) Closed-cell foam 61. (C) Metal-matrix composite Iteration counts for the ADMM with different settings and the fiber composite with linear elastic constituents The primal solvers are shown for comparison.…”
mentioning
confidence: 99%