1. ZHAW digitalcollection
  2. School of Engineering
  3. Publikationen
  4. Publikationen School of Engineering
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGaiselmann, Gerd-
dc.contributor.authorNeumann, Matthias-
dc.contributor.authorHolzer, Lorenz-
dc.contributor.authorHocker, Thomas-
dc.contributor.authorPrestat, Michel René-
dc.contributor.authorSchmidt, Volker-
dc.date.accessioned2017-11-30T15:09:50Z-
dc.date.available2017-11-30T15:09:50Z-
dc.date.issued2013-02-
dc.identifier.issn0927-0256de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/1639-
dc.description.abstractA 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.de_CH
dc.language.isoende_CH
dc.publisherElsevierde_CH
dc.relation.ispartofComputational Materials Sciencede_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectFuel cellde_CH
dc.subjectModelde_CH
dc.subjectMapde_CH
dc.subjectMicrostructurede_CH
dc.subject.ddc530: Physikde_CH
dc.subject.ddc621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnikde_CH
dc.titleStochastic 3D modeling of La0.6Sr0.4CoO3−δ cathodes based on structural segmentation of FIB–SEM imagesde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitute of Computational Physics (ICP)de_CH
dc.identifier.doi10.1016/j.commatsci.2012.08.030de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end62de_CH
zhaw.pages.start48de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume67de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
Appears in collections:Publikationen School of Engineering

Files in This Item:
There are no files associated with this item.
Show simple item record
Gaiselmann, G., Neumann, M., Holzer, L., Hocker, T., Prestat, M. R., & Schmidt, V. (2013). Stochastic 3D modeling of La0.6Sr0.4CoO3−δ cathodes based on structural segmentation of FIB–SEM images. Computational Materials Science, 67, 48–62. https://doi.org/10.1016/j.commatsci.2012.08.030
Gaiselmann, G. et al. (2013) ‘Stochastic 3D modeling of La0.6Sr0.4CoO3−δ cathodes based on structural segmentation of FIB–SEM images’, Computational Materials Science, 67, pp. 48–62. Available at: https://doi.org/10.1016/j.commatsci.2012.08.030.
G. Gaiselmann, M. Neumann, L. Holzer, T. Hocker, M. R. Prestat, and V. Schmidt, “Stochastic 3D modeling of La0.6Sr0.4CoO3−δ cathodes based on structural segmentation of FIB–SEM images,” Computational Materials Science, vol. 67, pp. 48–62, Feb. 2013, doi: 10.1016/j.commatsci.2012.08.030.
GAISELMANN, Gerd, Matthias NEUMANN, Lorenz HOLZER, Thomas HOCKER, Michel René PRESTAT und Volker SCHMIDT, 2013. Stochastic 3D modeling of La0.6Sr0.4CoO3−δ cathodes based on structural segmentation of FIB–SEM images. Computational Materials Science. Februar 2013. Bd. 67, S. 48–62. DOI 10.1016/j.commatsci.2012.08.030
Gaiselmann, Gerd, Matthias Neumann, Lorenz Holzer, Thomas Hocker, Michel René Prestat, and Volker Schmidt. 2013. “Stochastic 3D Modeling of La0.6Sr0.4CoO3−δ Cathodes Based on Structural Segmentation of FIB–SEM Images.” Computational Materials Science 67 (February): 48–62. https://doi.org/10.1016/j.commatsci.2012.08.030.
Gaiselmann, Gerd, et al. “Stochastic 3D Modeling of La0.6Sr0.4CoO3−δ Cathodes Based on Structural Segmentation of FIB–SEM Images.” Computational Materials Science, vol. 67, Feb. 2013, pp. 48–62, https://doi.org/10.1016/j.commatsci.2012.08.030.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.