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An alternative composite approach to tailor the thermoelectric performance in SiAlON and SiC

MPS-Authors
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Gregori,  G.
Department Physical Chemistry of Solids (Joachim Maier), Max Planck Institute for Solid State Research, Max Planck Society;

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Yordanov,  P.
Department Solid State Spectroscopy (Bernhard Keimer), Max Planck Institute for Solid State Research, Max Planck Society;
Scientific Facility Thin Film Technology (Gennady Logvenov), Max Planck Institute for Solid State Research, Max Planck Society;

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Habermeier,  H.-U.
Department Solid State Spectroscopy (Bernhard Keimer), Max Planck Institute for Solid State Research, Max Planck Society;
Scientific Facility Thin Film Technology (Gennady Logvenov), Max Planck Institute for Solid State Research, Max Planck Society;
Department Physical Chemistry of Solids (Joachim Maier), Max Planck Institute for Solid State Research, Max Planck Society;

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Maier,  J.
Department Physical Chemistry of Solids (Joachim Maier), Max Planck Institute for Solid State Research, Max Planck Society;

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Citation

Kaya, P., Gregori, G., Yordanov, P., Ayas, E., Habermeier, H.-U., Maier, J., et al. (2017). An alternative composite approach to tailor the thermoelectric performance in SiAlON and SiC. Journal of the European Ceramic Society, 37(10), 3367-3373.


Cite as: https://hdl.handle.net/21.11116/0000-000E-D52A-3
Abstract
The thermoelectric properties of SiAlON and SiC based composites prepared by adding TiCN (5 and 10 vol.%) as a particulate or as a segregated three-dimensional network were investigated. Although the volume fraction of the TiCN phase was the same in both kinds of SiAION-based composites, the one containing the segregated three-dimensional network exhibited larger power factor and higher figure of merit than the particle-reinforced composite. Such an enhancement was not observed in SiC. This outcome highlights the importance of the microstructure design and indicates that the segregated network approach may be an effective method to tailor the thermoelectric properties of composite systems. (C) 2017 Elsevier Ltd. All rights reserved.