Focused ion beam-scanning electron microscopy on solid-oxide fuel-cell electrode: Image analysis and computing effective transport properties

• Published in: Journal of power sources 2011-04, Vol.196 (7), p.3592-3603
• Main Authors: Gunda, Naga Siva Kumar, Choi, Hae-Won, Berson, Arganthaël, Kenney, Ben, Karan, Kunal, Pharoah, Jon G., Mitra, Sushanta K.
• Format: Article
• Language: English
• Subjects: 3D reconstruction; Applied sciences; Computation; Direct energy conversion and energy accumulation; Effective transport properties; Electrical engineering. Electrical power engineering; Electrical power engineering; Electrochemical conversion: primary and secondary batteries, fuel cells; Energy; Energy. Thermal use of fuels; Equipments for energy generation and conversion: thermal, electrical, mechanical energy, etc; Exact sciences and technology; Focused ion beam-scanning electron microscopy (FIB-SEM); Fuel cells; Lanthanum strontium manganite (LSM); Mathematical models; Porosity; Porous medium; Solid-oxide fuel-cell (SOFC); Surface area; Three dimensional; Transport properties; Two dimensional
• ISSN: 0378-7753; 1873-2755
• DOI: 10.1016/j.jpowsour.2010.12.042

[Display omitted] ▶ A systematic approach to reconstruct 3D microstructures of fuel cell electrodes from 2D FIB-SEM images is described. ▶ Image post-processing steps affect the porosity, surface area, electronic conductivity and gas diffusivity. ▶ Resolution of surface triangulation also affect the porosity, surface area, electronic conductivity and gas diffusivity. ▶ Effective properties calculated by FIB-SEM reconstruction are more anisotropic than those evaluated by the numerical reconstruction. In the present work, microstructural and transport properties of a three-dimensional (3D) microstructure of lanthanum strontium manganite (LSM) are deduced using dual-beam focused ion beam-scanning electron microscopy (FIB-SEM) facility. A series of two-dimensional (2D) cross-sectional images are collected from the LSM sample using FIB-SEM and then reconstructed to 3D structures from the 2D images in a systematic approach. For the first time, the effect of different image processing steps including threshold value, median filter radius, morphological operators, surface triangulation, smoothing filter, etc., on porosity, internal surface area, electronic conductivity and diffusivity are studied. Variation of 33% and 25% on porosity ɛ and internal surface area S, respectively is observed because of improper selection of threshold value, median filter radius, and morphological operator. The number of triangular surfaces used in 3D reconstructions also varied the porosity ɛ and internal surface area S by 14.5% and 4.4%, respectively. Computational domains for calculating effective transport properties are generated using body-fitted cut-cell based finite volume meshes on reconstructed 3D volumes. The normalized effective transport properties are computed on computational domains reconstructed by the FIB-SEM as well as by a numerical model. For the FIB-SEM reconstruction case, the normalized effective properties in z-direction are 25–44% smaller than those properties in x and y directions. This difference is significant and reveals the anisotropy in FIB-SEM reconstructed volume compared to numerically reconstructed volume. The presence of large crater, milling direction and smaller 3D FIB-SEM reconstructed volume could be the main reasons for this local anisotropy.