2010
DOI: 10.1243/09544089jpme325
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Simulation of the material behaviour of metal powder during compaction

Abstract: This article describes a direct numerical homogenization method for investigating the deformation mechanisms in, and the material behaviour of metal powder during and after compaction. An assembly of elasto-plastic spherical particles in frictional contact with one another is considered, and the stress response to some prescribed deformation history as well as the resulting yield surface of the aggregate is computed with the finite-element method. This is done by applying periodic boundary conditions to the as… Show more

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Cited by 14 publications
(10 citation statements)
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“…9 for the 2.5% yield surface of Fig. 8 and are seen to be indeed normal to the yield surface as predicted by (18). Note that the elastic stiffness at the yield points varies by up to 20% which cannot be neglected in the computation of the inelastic strain increment.…”
Section: Examplesupporting
confidence: 66%
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“…9 for the 2.5% yield surface of Fig. 8 and are seen to be indeed normal to the yield surface as predicted by (18). Note that the elastic stiffness at the yield points varies by up to 20% which cannot be neglected in the computation of the inelastic strain increment.…”
Section: Examplesupporting
confidence: 66%
“…Other cases where this is an issue include the situation where internal contact phenomena lead to a non-linear elastic behaviour at small elastic strains. A technologically important example for this is the cold compaction of metallic powders which is analysed in [18]. Here the possibility of computing the direction of the inelastic strain rate may be particularly useful because, due to frictional sliding effects, associative plastic behaviour cannot be expected on the macro scale and the formulation of the flow rule presents a problem.…”
Section: Discussionmentioning
confidence: 99%
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“…These methods can be used to study sintering characteristics such as influence of initial powder distribution on densification, grain coarsening, neck size, etc. Plankensteiner et al, 6) Schmidt et al, 7) Wang et al 8) used various DEM software codes to investigate sintering behavior and various sintering mechanisms for a collection of particles. Monte Carlo models are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results.…”
Section: )mentioning
confidence: 99%