Prediction of gas transport properties through fibrous carbon preform microstructures using Direct Simulation Monte Carlo

•Predicted gas transport properties using an integrated kinetic computational framework.•Analyzed the effect of material anisotropy on the permeability and pore-scale velocity.•Pore-diameter computed in this work agreed well with tomography derived data.•Determined representative elementary volume (...

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Veröffentlicht in:International journal of heat and mass transfer 2019-03, Vol.130, p.923-937
Hauptverfasser: Jambunathan, Revathi, Levin, Deborah A., Borner, Arnaud, Ferguson, Joseph C., Panerai, Francesco
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Sprache:eng
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Zusammenfassung:•Predicted gas transport properties using an integrated kinetic computational framework.•Analyzed the effect of material anisotropy on the permeability and pore-scale velocity.•Pore-diameter computed in this work agreed well with tomography derived data.•Determined representative elementary volume (REV) required for material characterization studies. We use the Cuda-based Hybrid Approach for Octree Simulations (CHAOS) DSMC solver to predict gas transport coefficients of Morgan felt and FiberForm TPS materials with sample size of (1×1×1) mm3. The detailed velocity flow-field of the pressure-driven flow through these materials is studied to compare the effect of material microstructures on gas transport. It is found that the effective flow path traversed by the gas is more circuitous and longer for FiberForm compared to the more porous felt. The obstruction offered by the material and the circuitous flow path is quantified by the Klinkenberg-derived permeability and hydraulic tortuosity factor, which are key material properties that govern the momentum transport through porous media. We also compute the hydraulic pore diameter of these materials and find that the through-thickness and in-plane pore diameter is equal to 86.94 and 98.7 μm for felt and 36.25 and 60.9 μm for Fiberform, which is within 5–6% of the average pore-size obtained from the tomography images.
ISSN:0017-9310
1879-2189
DOI:10.1016/j.ijheatmasstransfer.2018.11.006