Yield surfaces for solid foams: A review on experimental characterization and modeling

Jung, Anne; Diebels, Stefan

doi:10.1002/gamm.201800002

Cited by 17 publications

(4 citation statements)

References 110 publications

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“…The specific yield points were evaluated from the simulation results according to the experimental analysis of Jung et al [ 23,38 ] For uniaxial loading, the stresses were taken as the plastic collapse stresses. For torsion loading and torsion with superimposed uniaxial loading, the torque at plastic collapse was taken to calculate

\left(\tau\right)_{\text{max}}

.…”

Section: Methodsmentioning

confidence: 99%

Numerical Prediction of the Yield Surface of a Chiral Auxetic Structure

Kose,

Novak,

Grednev

et al. 2023

Adv Eng Mater

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For today’s requirements, the material itself is often not sufficient anymore. This leads to structural cellular materials and metamaterials, which allow for more degrees of freedom by a strong structure‐property‐relationship. Auxetic structures investigated in this contribution belong to metamaterials. Auxetic metamaterials show huge advantages in their properties, e.g. an enhanced specific energy absorption capacity as well as a negative Poisson’s ratio, combined with a very high stiffness‐to‐weight ratio. Experimental probing of these structures is very challenging, hence, up to now, auxetic materials are only investigated in uniaxial, bending or shear loading. But for an industrial application, the knowledge of the multiaxial yield behaviour is inevitable. For the first time, the present study deals with the numerical probing of the yield surface for a chiral auxetic structure applying multiaxial loading. The changes in Poisson’s ratio, specific energy absorption capacity and the resulting non‐convex yield surface are studied numerically. It showed, that the highest specific energy absorption capacities are reached under compression load cases while higher stiffnesses and yield stresses are achieved under tensile loading. There is a strong‐structure‐property relationship and load case dependency for the Poisson’s ratio as well as for the specific energy absorption capacity.This article is protected by copyright. All rights reserved.

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\left(\tau\right)_{\text{max}}

.…”

Section: Methodsmentioning

confidence: 99%

Numerical Prediction of the Yield Surface of a Chiral Auxetic Structure

Kose,

Novak,

Grednev

et al. 2023

Adv Eng Mater

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show abstract

“…To investigate the elastoplastic behavior of real closed-cell foam, a macro-scale Representative Volume Element (RVE) modeling approach is used instead of considering the heterogeneous mesostructure of metal foams. In this approach, the heterogeneous mesostructure is replaced by a homogeneous continuum with macroscopic material properties 39 . Figure 1 illustrates the utilization of a random RVE model, which has been suggested in previous literature [40][41] .…”

Section: The Isotropic Finite Element (Fe) Modelmentioning

confidence: 99%

Effect of cell structure on elastoplastic behavior of closed-cell foam material

Huimin,

Qinzhi,

Xingwei

2023

Preprint

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This study conducts a numerical investigation to explore the influence of cell structure, relative density, and loading ratio on the elastic and plastic properties of closed-cell foam materials under uniaxial and multiaxial loadings. The characteristic stress-strain curves of closed-cell foam with the relative density, inner cell structure, and loading ratio are compared. Since the mechanical properties of foam materials are mainly affected by large pores, we applied the parameters: the characteristic diameter Dch and characteristic shape anisotropy αch proposed by Ref.40,41 to measure large pore size and shape in order to analyze. For better comparison, we have normalized the characteristic stress-strain data based on the uniaxial yield strength. Our findings indicate that the impact of relative density under trial loading is more significant than that under uniaxial loading. And the characteristic diameter Dch has virtually no effect on the dimensionless characteristic stress-strain curve. The characteristic shape anisotropy αch has minimal impact on the distribution of the characteristic stress-strain curves under uniaxial loading, in constract, for various values of characteristic shape anisotropy αch, significant disparities can be observed. Therefore, the early-stage elastoplastic behavior is also affected by the loading ratio. Furthermore, the stress-strain curve under different loading conditions can be modeled using Eq. 15. The parameters in Eq. 15 are determined by the loading parameters cos (3θ) and k.

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“…Bouwhuis et al [9] and Jung et al [37] produced and investigated the energy absorption capacity properties of Ni/Al hybrid foams. Jung et al [38][39][40] and Jung and Diebels [34,35] further studied the mechanical behavior from the macro down to the atomic scale for Ni/Al hybrid foams for uni-and multiaxial loading. Sun et al [72] investigated Al/Cu foams both in finite element (FE) simulations as well as experimentally.…”

Section: Introductionmentioning

confidence: 99%

Applicability of correlated digital image correlation and infrared thermography for measuring mesomechanical deformation in foams and auxetics

et al. 2022

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Cellular materials such as metal foams or auxetic metamaterials are interesting microheterogeneous materials used for lightweight construction and as energy absorbers. Their macroscopic behavior is related to their specific mesoscopic deformation by a strong structure‐property‐relationship. Digital image correlation and infrared thermography are two methods to visualize and study the local deformation behavior in materials. The present study deals with the full‐field thermomechanical analysis of the mesomechanical deformation in Ni/PU hybrid foams and Ni/polymer hybrid auxetic structures performing a correlative digital image correlation and infrared thermography. Instead of comparing and correlating only the primary output variables of both methods, strain and temperature, also strain rates and temperature rates occurring during deformation were compared. These allow for a better correlation and more conclusive results than obtained using only the primary output variables.

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Yield surfaces for solid foams: A review on experimental characterization and modeling

Cited by 17 publications

References 110 publications

Numerical Prediction of the Yield Surface of a Chiral Auxetic Structure

Numerical Prediction of the Yield Surface of a Chiral Auxetic Structure

Effect of cell structure on elastoplastic behavior of closed-cell foam material

Applicability of correlated digital image correlation and infrared thermography for measuring mesomechanical deformation in foams and auxetics

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