Predicting grain size distributions in perovskite-structured Ba0.5Sr0.5Co0.8Fe0.2O3–δ oxygen transport membranes

Li Wang, Rui Dou, Gong Wang, Yizhe Le, Mingwen Bai, David Hall, Ying Chen

Research output: Contribution to journalArticle

Abstract

This study is conducted over a 3 × 3 time–temperature matrix on Ba0.5Sr0.5Co0.8Fe0.2O3−δ (BSCF) ceramics, and sintered bodies above 93% dense are obtained. The electron backscatter diffraction band contrast micrographs of the polished sintered samples are analysed for characterising the grain size distributions (GSDs). This study develops an algorithm for predicting the GSDs of BSCF dependence of sintering condition (time and temperature). In addition, the GSDs predicted by the algorithm agree reasonably with those experimentally observed. When individual grain size is non-dimensionalised by the median grain size, the GSDs data of all BSCF samples reduce to a single self-similar GSD curve. The median grain size is predicted by the classical kinetics equation, Dn = tK0exp(−Q/RT).
Original languageEnglish
Pages (from-to)354-360
Number of pages7
JournalAdvances in Applied Ceramics
Volume117
Issue number6
Early online date13 Feb 2018
DOIs
Publication statusPublished - 18 Aug 2018
Externally publishedYes

Keywords

  • BSCF
  • grain-growth kinetics
  • grain size distribution
  • microstructure

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