Thermal Conductivity of Ceramic Nanocomposites – The Phase Mixture Modeling Approach
| Periodical | Advances in Science and Technology (Volume 71) |
|---|---|
| Main Theme | 12th INTERNATIONAL CERAMICS CONGRESS PART J |
| Edited by | Pietro VINCENZINI, Maurizio FERRARI and Mrityunjay SINGH |
| Pages | 68-73 |
| DOI | 10.4028/www.scientific.net/AST.71.68 |
| Citation | Willi Pabst et al., 2010, Advances in Science and Technology, 71, 68 |
| Online since | October, 2010 |
| Authors | Willi Pabst, Jan Hostaša |
| Keywords | Alumina, Beran Bound, Composite, Core-Shell Microstructure, Grain Boundary (GB), Hashin-Shtrikman Bound, Nanocrystalline Ceramic, Phase Mixture Model, Sigmoidal Average, Symmetric-Cell Material, Thermal Conductivity (TC), Wiener Bound, Zirconia |
| Price | US$ 28,- |
In nanocrystalline materials the grain boundaries must be considered as regions of finite thickness with properties different from the crystalline bulk material present in the crystallite cores. Thus, dense (i.e. pore-free) single-phase nanocrystalline materials can be considered as quasi-twophase systems whose effective properties can be calculated when quantitative thickness information is available and the property value of the grain boundary phase can be reliably estimated. Similarly, dense two-phase nanocomposites may be considered as quasi-three-phase systems and their effective properties can be predicted using an analogous phase mixture modeling approach. In this contribution this is done for the thermal conductivity of alumina-zirconia nanocomposites. A twostage homogenization procedure is applied, consisting of a first step in which the alumina-zirconia composite is treated as a symmetric-cell material, and a second step in which the highly disordered grain boundary phase is treated as a matrix-phase, coating the crystallite cores. The individual averaging steps are discussed with respect to the two- and three-point bounds, and the resulting grain size dependence is compared with that of pure alumina and zirconia, and literature data.