2018
DOI: 10.1016/j.ijsolstr.2018.02.008
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Modelling the microstructure and computing effective elastic properties of sand core materials

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Cited by 33 publications
(43 citation statements)
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“…First, we investigate the linear elastic behavior of a sand core microstructure. The microstructure corresponds to sample A in the work of Schneider et al and consists of 64 sand grains with 58.58% volume fraction, held together by 1.28% binder, cf Figure . The geometry was generated by the algorithm described in the work of Schneider et al and resolved by 256 3 voxels.…”
Section: Numerical Demonstrationsmentioning
confidence: 99%
See 1 more Smart Citation
“…First, we investigate the linear elastic behavior of a sand core microstructure. The microstructure corresponds to sample A in the work of Schneider et al and consists of 64 sand grains with 58.58% volume fraction, held together by 1.28% binder, cf Figure . The geometry was generated by the algorithm described in the work of Schneider et al and resolved by 256 3 voxels.…”
Section: Numerical Demonstrationsmentioning
confidence: 99%
“…The ceramic particles are assumed to be isotropic linear elastic, and the aluminum matrix is governed by J 2 plasticity with power‐law hardening σ0(p)=σY+kpm, cf Table for material parameters. This setup was studied in the work of Schneider et al and constitutes an example where the material contrast increases during loading. Indeed, power law hardening approaches perfect plastification in the limit.…”
Section: Numerical Demonstrationsmentioning
confidence: 99%
“…In the manufacturing process of the electrode, a binder and conductive aid are added to active material particles, in order to improve their adhesion and conductivity. Although prediction techniques for 3D binder structures in porous materials have been proposed [22], it is still difficult to reproduce their accurate structure. In this study, the binder and additive region are not modeled explicitly in the 3D structure, but are assumed to be completely mixed and homogeneous, in order to estimate the effective porosity and surface area of the active material.…”
Section: Estimation Of Surface Area Of Pore Region and Volume Fractiomentioning
confidence: 99%
“…In manufacturing process of electrode, binder and conductive aid are added in active material particles in order to improve its adhesion and conductivity. Although the prediction technique of 3D binder structure in porous materials has been proposed [20], it is still difficult to reproduce the accurate structure of them. In this study, binder and additive region are not modeled explicitly in 3D structure but assumed to be completely mixed and homogeneous in order to estimate the effective porosity and surface area of active material.…”
Section: Estimation Of Surface Area Of Pore Region and Volume Fractiomentioning
confidence: 99%