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dc.contributor.authorGaiselmann, Gerd-
dc.contributor.authorNeumann, Matthias-
dc.contributor.authorSchmidt, Volker-
dc.contributor.authorPecho, Omar-
dc.contributor.authorHocker, Thomas-
dc.contributor.authorHolzer, Lorenz-
dc.date.accessioned2017-11-30T14:58:38Z-
dc.date.available2017-11-30T14:58:38Z-
dc.date.issued2014-02-25-
dc.identifier.issn1547-5905de_CH
dc.identifier.issn0001-1541de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/1633-
dc.description.abstractThe microstructure influence on conductive transport processes is described in terms of volume fraction ε, tortuosity τ, and constrictivity β. Virtual microstructures with different parameter constellations are produced using methods from stochastic geometry. Effective conductivities σeff are obtained from solving the diffusion equation in a finite element model. In this way, a large database is generated which is used to test expressions describing different micro-macro relationships such as Archie's law, tortuosity, and constrictivity equations. It turns out that the constrictivity equation has the highest accuracy indicating that all three parameters (ε, τ, β) are necessary to capture the microstructure influence correctly. The predictive capability of the constrictivity equation is improved by introducing modifications of it and using error-minimization, which leads to the following expression: σeff = σ0^2.03ε^1.57β^0.72/τ^2 with intrinsic conductivity σ0. The equation is important for future studies in, for example, batteries, fuel cells, and for transport processes in porous materials.de_CH
dc.language.isoende_CH
dc.publisherWileyde_CH
dc.relation.ispartofAIChE Journalde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectGeometric tortuosityde_CH
dc.subjectMapde_CH
dc.subjectConstrictivityde_CH
dc.subjectEffective conductivityde_CH
dc.subject.ddc530: Physikde_CH
dc.subject.ddc660: Technische Chemiede_CH
dc.titleQuantitative relationships between microstructure and effective transport properties based on virtual materials testingde_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.doi10.1002/aic.14416de_CH
zhaw.funding.euNode_CH
zhaw.issue6de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end1999de_CH
zhaw.pages.start1983de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume60de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
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Gaiselmann, G., Neumann, M., Schmidt, V., Pecho, O., Hocker, T., & Holzer, L. (2014). Quantitative relationships between microstructure and effective transport properties based on virtual materials testing. AIChE Journal, 60(6), 1983–1999. https://doi.org/10.1002/aic.14416
Gaiselmann, G. et al. (2014) ‘Quantitative relationships between microstructure and effective transport properties based on virtual materials testing’, AIChE Journal, 60(6), pp. 1983–1999. Available at: https://doi.org/10.1002/aic.14416.
G. Gaiselmann, M. Neumann, V. Schmidt, O. Pecho, T. Hocker, and L. Holzer, “Quantitative relationships between microstructure and effective transport properties based on virtual materials testing,” AIChE Journal, vol. 60, no. 6, pp. 1983–1999, Feb. 2014, doi: 10.1002/aic.14416.
GAISELMANN, Gerd, Matthias NEUMANN, Volker SCHMIDT, Omar PECHO, Thomas HOCKER und Lorenz HOLZER, 2014. Quantitative relationships between microstructure and effective transport properties based on virtual materials testing. AIChE Journal. 25 Februar 2014. Bd. 60, Nr. 6, S. 1983–1999. DOI 10.1002/aic.14416
Gaiselmann, Gerd, Matthias Neumann, Volker Schmidt, Omar Pecho, Thomas Hocker, and Lorenz Holzer. 2014. “Quantitative Relationships between Microstructure and Effective Transport Properties Based on Virtual Materials Testing.” AIChE Journal 60 (6): 1983–99. https://doi.org/10.1002/aic.14416.
Gaiselmann, Gerd, et al. “Quantitative Relationships between Microstructure and Effective Transport Properties Based on Virtual Materials Testing.” AIChE Journal, vol. 60, no. 6, Feb. 2014, pp. 1983–99, https://doi.org/10.1002/aic.14416.


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