2016
DOI: 10.1007/s00161-016-0515-0
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Numerical homogenization of elastic and thermal material properties for metal matrix composites (MMC)

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Cited by 11 publications
(6 citation statements)
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“…Schindler et al [23] showed that this simplification is indeed valid, inducing an error of 0.18% when the maximal temperature variation over the domain is 1 K for 273 K ≤ T 0 ≤ 775 K.…”
Section: Micro-macro Scale Transition and Macrohomogeneity Conditionmentioning
confidence: 96%
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“…Schindler et al [23] showed that this simplification is indeed valid, inducing an error of 0.18% when the maximal temperature variation over the domain is 1 K for 273 K ≤ T 0 ≤ 775 K.…”
Section: Micro-macro Scale Transition and Macrohomogeneity Conditionmentioning
confidence: 96%
“…The macrohomogeneity condition states that the specific entropy production rate should be conserved between the micro-and macro-scales [19,23]. For small temperature variations (T ≈ T 0 ) across Ω, this condition can be simplified to:…”
Section: Micro-macro Scale Transition and Macrohomogeneity Conditionmentioning
confidence: 99%
See 1 more Smart Citation
“…Since then, Mg alloys have gained more recognition as a structural material for lightweight applications because of their low density, high stiffness-to-weight ratio, favorable castability, shock absorption, and excellent damping. Nevertheless, Mg alloys have not been used for critical applications because of their inferior mechanical properties, high manufacturing cost, and unfavorable formability at room temperature compared with other engineering materials [1][2][3][4]. One of the most frequently used methods for enhancing the mechanical properties of alloys is through strengthening by means of second-phase particles [5][6][7].…”
Section: Introductionmentioning
confidence: 99%
“…As a matter of fact, advanced models are often restricted to a limited variety of materials. Although isotropic and anisotropic polycrystalline metals, for instance, have been extensively studied by the means of both analytical and computational tools (Cailletaud et al 2003;Kanit et al 2003;Madi et al 2007;Berdin et al 2013;Fritzen et al 2013;Hor et al 2014;Kowalski et al 2016;Amodeo et al 2016;Schindler et al 2017), architectured materials bring up new challenges regarding the determination of effective properties.…”
Section: Architectured Materialsmentioning
confidence: 99%