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Electrode reconstruction by FIB/SEM and microstructure modeling

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Polarization losses within solid oxide fuel cell electrodes are strongly related to microstructure characteristics and composition. High-resolution microstructure analysis is a sensible method to understand and improve electrode performance. This study presents the application of a dual-beam focused...

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Bibliographic Details
Main Authors: Joos, Jochen (Author) , Carraro, Thomas (Author)
Format: Article (Journal) Chapter/Article
Language:English
Published: 2010
In: ECS transactions
Year: 2010, Volume: 28, Issue: 11, Pages: 81-91
ISSN:1938-6737
DOI:10.1149/1.3495834
Online Access:Resolving-System, Volltext: http://dx.doi.org/10.1149/1.3495834
Verlag, Volltext: http://ecst.ecsdl.org/content/28/11/81
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Author Notes:Jochen Joos, Bernd Rüger, Thomas Carraro, André Weber, Ellen Ivers-Tiffée
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Summary:Polarization losses within solid oxide fuel cell electrodes are strongly related to microstructure characteristics and composition. High-resolution microstructure analysis is a sensible method to understand and improve electrode performance. This study presents the application of a dual-beam focused ion beam/scanning electron microscope (FIB/SEM) for the three-dimensional (3D) reconstruction of a high performance LSCF-cathode. Error sources arising from FIB slicing and SEM sequencing are identified and methods of correction are presented. The corrected reconstruction data representing altogether a volume of ~ 2800µm3 are the basis for the calculation of the microstructure parameters (i) surface area, (ii) volume/porosity fraction and (iii) tortuosity. These parameters constitute the basis to calculate cathode performance via simplified microstructure models (1-3). Furthermore we present a detailed 3D finite element method (FEM) model to calculate the tortuosity from the accurately reconstructed 3D FIB/SEM data. This model has been extended to calculate electrode performance (ASRcat) from the 3D reconstruction.
Item Description:Gesehen am 11.03.2019
Physical Description:Online Resource
ISSN:1938-6737
DOI:10.1149/1.3495834

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