Search

Your search keyword '"Gaiselmann, Gerd"' showing total 25 results
Start Over Author "Gaiselmann, Gerd"
25 results on '"Gaiselmann, Gerd"'

2. Stochastic 3D Models for the Micro-structure of Advanced Functional Materials

Author

Schmidt, Volker, Gaiselmann, Gerd, Stenzel, Ole, Morel, J.-M., Editor-in-chief, Teissier, Bernard, Editor-in-chief, De Lellis, Camillo, Series editor, di Bernardo, Mario, Series editor, Figalli, Alessio, Series editor, Khoshnevisan, Davar, Series editor, Kontoyiannis, Ioannis, Series editor, Lugosi, Gabor, Series editor, Podolskij, Mark, Series editor, Serfaty, Sylvia, Series editor, Stroppel, Catharina, Series editor, Wienhard, Anna, Series editor, and Schmidt, Volker, editor

Published
2015
Full Text
View/download PDF

24. Extraction of curved fibers from 3D data.

Author

Gaiselmann, Gerd, Manke, Ingo, Lehnert, Werner, and Schmidt, Volker

Subjects
FIBERS, THREE-dimensional imaging, DATA, PROTON exchange membrane fuel cells, ALGORITHMS
Abstract

A segmentation algorithm is proposed which automatically extracts single fibers from tomographic 3D data. As an example, the algorithm is applied to a non-woven material used in the gas diffusion layer of polymer electrolyte membrane fuel cells. This porous material consists of a densely packed system of strongly curved carbon fibers. Our algorithm works as follows. In a first step, we focus on the extraction of skeletons, i.e., center lines of fibers. Due to irregularities like noise or other data artefacts, it is only possible to extract fragments of center lines. Thus, in a second step, we consider a stochastic algorithm to adequately connect these parts of center lines to each other, with the general aim to reconstruct the complete fibers such that the curvature properties of real fibers are reflected correctly. The quality of the segmentation algorithm is validated by applying it to simulated test data. [ABSTRACT FROM AUTHOR]

Published
2012

25. Stochastic 3D modeling of La0.6Sr0.4CoO3−δ cathodes based on structural segmentation of FIB–SEM images

Author

Gaiselmann, Gerd, Neumann, Matthias, Holzer, Lorenz, Hocker, Thomas, Prestat, Michel René, and Schmidt, Volker

Subjects
*STOCHASTIC systems, *LANTHANUM compounds, *CATHODES, *MICROSTRUCTURE, *CRYSTAL structure, *TEMPERATURE effect, *IMAGE segmentation, *SCANNING electron microscopy
Abstract

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. [Copyright &y& Elsevier]

Published
2013
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results