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The European Physical Journal Special Topics

, Volume 154, Issue 1, pp 253–256 | Cite as

Low frequency elastic and anelastic properties of \(\mbox{\sffamily\bfseries Pb(Fe}_{\hbox{\sffamily\bfseries\fontsize{12}{12}\selectfont 0.5}} \mbox{\sffamily\bfseries Nb}_{\hbox{\sffamily\bfseries\fontsize{12}{12}\selectfont 0.5}} \mbox{\sffamily\bfseries )O}_{\hbox{\sffamily\bfseries\fontsize{12}{12}\selectfont 3}}\) ferroelectric ceramics

  • R. ZachariaszEmail author
  • D. Bochenek
Article

Abstract.

Pb(Fe0.5Nb0.5)O3 is one of the well studied ferroelectric compound. However, different physical properties of this ceramics were investigated in details, mainly at temperatures in the vicinity of the Curie point, whereas many questions remain about the behavior of physical properties in a wide temperature range, the presence of other phase transitions, types of lattice defects and their effect on macroscopic characteristics, etc. The papers devoted to low frequency elastic and anelastic properties of Pb(Fe0.5Nb0.5)O3 are practically non-existant. Nevertheless, the study of internal friction could give valuable information about different kinds (point, linear and plane) of lattice defects and the changes in the properties of the different phases of investigating ceramics which are related with the several mechanisms measured by the mechanical resonance spectrometer [3]. It is difficult to obtain such results by any other method; moreover sometimes it is impossible at all. In the work, we present results of the measurements of low frequency internal friction Q-1, Young's modulus E, electric permittivity ε and dielectric loss of angle tgδ in the polycrystalline Pb(Fe0.5Nb0.5)O3 ceramic samples in order to understand a nature of lattice defect interactions and mechanism Q-1 at the phase transition in the Curie and Neel points.

Keywords

Domain Wall Internal Friction European Physical Journal Special Topic Paraelectric Phase Ferroelectric Ceramic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© EDP Sciences/Società Italiana di Fisica/Springer-Verlag 2008

Authors and Affiliations

  1. 1.Department of Material ScienceFaculty of Computer Science and Material Science, University of SilesiaSosnowiecPoland

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