2015
DOI: 10.1016/j.ijimpeng.2014.10.009
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A 3D mesoscopic model for the closed-cell metallic foams subjected to static and dynamic loadings

Qin Fang,
Jinhua Zhang,
Yadong Zhang
et al.
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Cited by 52 publications
(22 citation statements)
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“…Gaitanaros et al (2012) established a numerical model and found that open-cell metal foam absorbed more energy while increasing the impact velocity. Investigations on the closed-cell metal foam carried out by Fang et al (2014) also validated this conclusion. Liu et al (2009) studied the kinetic and internal energy of metal foam under impact, and found that as the impact velocity increases, the kinetic and internal energy increases significantly due to inertia effect.…”
Section: Introductionsupporting
confidence: 57%
“…Gaitanaros et al (2012) established a numerical model and found that open-cell metal foam absorbed more energy while increasing the impact velocity. Investigations on the closed-cell metal foam carried out by Fang et al (2014) also validated this conclusion. Liu et al (2009) studied the kinetic and internal energy of metal foam under impact, and found that as the impact velocity increases, the kinetic and internal energy increases significantly due to inertia effect.…”
Section: Introductionsupporting
confidence: 57%
“…Although the effect of internal gas is neglected in the present FE model, it has been confirmed that the trapped gas hardly affects the foam strength of aluminium foams according to the previous analytical estimate [25] and numerical simulation [26]. However, the gas effect could be significant at the compression densification stage [26] or when the initial gas pressure is much higher than atmosphere pressure [27].…”
Section: Strain-rate Sensitivities Of the Compressive And Tensile Strsupporting
confidence: 56%
“…However, the gas effect could be significant at the compression densification stage [26] or when the initial gas pressure is much higher than atmosphere pressure [27].…”
Section: Strain-rate Sensitivities Of the Compressive And Tensile Strmentioning
confidence: 99%
“…The 8 mm and 10 mm thickness foam geometries had a total of 2,063,373 and 2,654,251 elements respectively. This number of elements and the size of elements were compared with similar studies in the literature [40][41][42] and comparatively, this mesh is relatively fine. Mie-Gruneisen Equation of State (EOS) with a linear Us-up was also used for both flyer-plate models.…”
Section: Finite Element Modellingmentioning
confidence: 99%