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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Skibiński, Jakub
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Publications (7/7 displayed)
- 2024Bioactive hydrogel based on collagen and hyaluronic acid enriched with freeze-dried sheep placenta for wound healing suportcitations
- 2021Supporting ionic conductivity of Li2CO3/K2CO3 molten carbonate electrolyte by using yttria stabilized zirconia matrixcitations
- 2020Metallic foam supported electrodes for molten carbonate fuel cellscitations
- 2018Investigation of the relationship between morphology and permeability for open-cell foams using virtual materials testingcitations
- 2017Design of Reservoir Recognition Technique Component - Open Porosity in Non-Polarizing Electrodes
- 2016Numerical simulations of epitaxial growth in MOVPE reactor as a tool for aluminum nitride growth optimization
- 2016Design of open-porous materials for high-temperature fuel cells
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article
Investigation of the relationship between morphology and permeability for open-cell foams using virtual materials testing
Abstract
The effect of the morphology of open-cell foam structures on their functional properties is investigated. A stochastic microstructure model is used to generate representative 3D open-cell foam structures, where morphological properties are systematically varied. Subsequently, permeability of these virtual, but realistic microstructures is determined using the finite volume method. This procedure, which is called virtual materials testing, has recently been employed to investigate the effect of the variation of cell sizes on permeability. In the present paper, we introduce a stochastic microstructure model that can be used to generate structures with varying distribution of (open) face sizes between cells. It turns out that this characteristic strongly influences the so-called constrictivity, a measure for bottleneck effects, which, in turn, has a strong impact on the resulting permeability. Moreover, we show how the virtual materials testing approach can be applied to derive empirical formulas between descriptors of 3D morphology and functionality. Additionally, an experimental validation of the simulation results is performed by printing three of the virtual structures using selective laser melting and subsequent experimental measurement of pressure drop, which allows calculation of the permeability using Darcy's law.