Electrode reconstruction by FIB/SEM and microstructure modeling
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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| Hauptverfasser: | , |
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| Dokumenttyp: | Article (Journal) Kapitel/Artikel |
| Sprache: | Englisch |
| Veröffentlicht: |
2010
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| In: |
ECS transactions
Year: 2010, Jahrgang: 28, Heft: 11, Pages: 81-91 |
| ISSN: | 1938-6737 |
| DOI: | 10.1149/1.3495834 |
| Online-Zugang: | 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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| Verfasserangaben: | Jochen Joos, Bernd Rüger, Thomas Carraro, André Weber, Ellen Ivers-Tiffée |
| Zusammenfassung: | 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. |
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| Beschreibung: | Gesehen am 11.03.2019 |
| Beschreibung: | Online Resource |
| ISSN: | 1938-6737 |
| DOI: | 10.1149/1.3495834 |