Title: Stochastic 3D modeling of La0.6Sr0.4CoO3−δ cathodes based on structural segmentation of FIB–SEM images
Authors : Gaiselmann, Gerd
Neumann, Matthias
Holzer, Lorenz
Hocker, Thomas
Prestat, Michel René
Schmidt, Volker
Published in : Computational Materials Science
Volume(Issue) : 67
Pages : 48
Pages to: 62
Publisher / Ed. Institution : Elsevier BV
Issue Date: Feb-2013
Language : Englisch / English
Subjects : Fuel cell; Model; Map; Microstructure
Subject (DDC) : 530: Physik
621.3: Elektrotechnik, Elektronik
Abstract: A stochastic microstructure model is developed in order to describe and simulate the 3D geometry of two-phase microstructures (solid and pore phase), where the solid phase consists of spherical particles being completely connected with each other. Such materials appear e.g. in La0.6Sr0.4CoO3−δ (LSC) cathodes of solid oxide fuel cells, which are produced by screen printing and sintering of a paste consisting of LSC powder manufactured by flame spray synthesis. Thus, as a model type, we consider (fully parameterized) random sphere systems which are based on ideas from stochastic geometry and graph theory. In particular, the midpoints of spheres are modeled by random point processes. In order to assure the complete connectivity of the spheres, a modified version of the relative neighborhood graph is introduced. This graph controls the radii of spheres such that a completely connected sphere system is obtained. The model parameters are exemplarily fitted to three different materials for LSC cathodes, produced with sintering temperatures of 750, 850 and 950 °C, respectively. Finally, the goodness of fit is validated by comparing structural characteristics of real and simulated image data.
Departement: School of Engineering
Organisational Unit: Institute of Computational Physics (ICP)
Publication type: Beitrag in wissenschaftlicher Zeitschrift / Article in scientific Journal
DOI : 10.1016/j.commatsci.2012.08.030
ISSN: 0927-0256
URI: https://digitalcollection.zhaw.ch/handle/11475/1639
Appears in Collections:Publikationen School of Engineering

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