Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1448346 | Acta Materialia | 2008 | 13 Pages |
Abstract
The paper presents a novel concept for the automated recognition and identification of different classes of porosity. This is applied to the porosity network in thermally oxidized nuclear graphite samples, which has been observed using computed X-ray tomography. The analysis is used to predict the dependence of thermal conductivity on thermal oxidation-induced weight loss. The model predictions, based on the Euler approach, are successfully compared with experimental measurements of thermal conductivity, obtained using the laser flash method.
Related Topics
Physical Sciences and Engineering
Materials Science
Ceramics and Composites
Authors
L. Babout, B.J. Marsden, P.M. Mummery, T.J. Marrow,