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A STUDY ON NUMERICAL DETERMINATION OF PERMEABILITY AND INERTIA COEFFICIENT OF ALUMINUM FOAM USING X-RAY MICROTOMOGRAPHY TECHNIQUE: FOCUS ON INSPECTION METHODS FOR RELIABILITY (PERMEABILITY AND INERTIA COEFFICIENT BY TOMOGRAPHY)

Volumen 22, Edición 5, 2019, pp. 511-529
DOI: 10.1615/JPorMedia.2019028887
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SINOPSIS

The volume-averaged (i.e., macroscopic) transport properties such as permeability and inertia coefficient of two aluminum foams with 10 and 20 pores per inch (PPI) pore density are found using microtomography images. It is shown that a comparison between the numerical values and the experimental results may not be sufficient to prove the correctness of the obtained results. Hence, in addition to traditional validation methods such as grid independency and comparison with reported results in literature, further inspections such as (a) checking the development of flow, (b) inspection of Darcy and non-Darcy regions, (c) conservation of flow rate through the porous media, (d) sufficiency of number of voxels in the narrow throats, and (e) observation of transverse velocity gradients in pores for high and low Reynolds numbers can be performed to further validate the achieved results. These techniques have been discussed and explained in detail for the performed study. Moreover, the obtained permeability and inertia coefficient values are compared with 19 reported theoretical, numerical, and experimental studies. The maximum deviation between the present results and the reported studies for 10 PPI is below 25%, while for 20 PPI it is below 28%.

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CITADO POR
  1. Wang Chunyang, Mobedi Moghtada, A comprehensive pore scale and volume average study on solid/liquid phase change in a porous medium, International Journal of Heat and Mass Transfer, 159, 2020. Crossref

  2. Chen Kang, Guo LieJin, Wang Hui, A review on thermal application of metal foam, Science China Technological Sciences, 63, 12, 2020. Crossref

  3. Donmus Sinem, Mobedi Moghtada, Kuwahara Fujio, Double-Layer Metal Foams for Further Heat Transfer Enhancement in a Channel: An Analytical Study, Energies, 14, 3, 2021. Crossref

  4. Yan Ke, Yin Tingting, Sun Jiannan, Hong Jun, Zhu Yongsheng, Flow Mechanism Characterization of Porous Oil-Containing Material Base on Micro-Scale Pore Modeling, Materials, 14, 14, 2021. Crossref

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