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Journal of Porous Media
Facteur d'impact: 1.49 Facteur d'impact sur 5 ans: 1.159 SJR: 0.43 SNIP: 0.671 CiteScore™: 1.58

ISSN Imprimer: 1091-028X
ISSN En ligne: 1934-0508

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Journal of Porous Media

DOI: 10.1615/JPorMedia.v15.i8.10
pages 705-720

COMPARISON OF TWO PERMEATION TEST BENCHES AND TWO DETERMINATION METHODS FOR DARCY'S AND FORCHHEIMER'S PERMEABILITIES

Nicolas Gascoin
PRISME Laboratory, INSA-Centre Val de Loire, 88 boulevard Lahitolle, 18000 Bourges, France
Guillaume Fau
PRISME Laboratory, INSA-Centre Val de Loire, 88 boulevard Lahitolle, 18000 Bourges, France
Philippe Gillard
PRISME, IUT Bourges, 63, avenue de Lattre de Tassigny, 18000 Bourges, France
Markus Kuhn
German Aerospace Center, Pfaffenwaldring 38-40, 70569 Stuttgart, Germany
Marc Bouchez
MBDA-France, 18 rue Le Brix, 18000 Bourges, France
Johan Steelant
The European Space Research and Technology Center, Noordwijk, Netherlands

RÉSUMÉ

The thermal load protection of hypersonic and space vehicle structures can be achieved by either passive or active methods, such as ablative materials or active cooling. For the latter, porous Ceramic Matrix Composite media offer a possibility to exploit thermal protection by means of transpiration cooling. One of the related key issues is the estimation of permeability parameters such as Darcy's and Forchheimer's terms. The present paper aims at proposing an analytical and applied comparison of two determination methods (one based on the International Standard Organisation (ISO) norm 4022 and one derived for compressible flows, the so-called P 2 method). To apply these mathematically equivalent laws, a cross verification and validation has been carried out on two different test rigs with different porous media (metallic and composite) with a range of Darcian permeability varying from 10−17 m 2 to 10−11 m 2. The French PRISME laboratory test bench has a higher accuracy for thin samples (under 3 mm), while the German Aerospace Center (DLR) rig is more adapted to thick samples (over 3 mm). The results are judged to be satisfactory (discrepancy around 14% for reference samples). The methods used to post-process the data can generate discrepancies up to a factor of2 for a given set of experimental data.