Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.2977
DC FieldValueLanguage
dc.contributor.authorOdermatt, Anton-
dc.contributor.authorRichert, Claudia-
dc.contributor.authorHuber, Norbert-
dc.date.accessioned2020-10-14T08:58:11Z-
dc.date.available2020-10-14T08:58:11Z-
dc.date.issued2020-06-13-
dc.identifier.citationMaterials Science and Engineering A (791): 139700 (2020-07-22)de_DE
dc.identifier.issn0921-5093de_DE
dc.identifier.urihttp://hdl.handle.net/11420/7548-
dc.description.abstractFor the prediction of elastic-plastic deformation behavior of nanoporous materials, a computationally efficient method is needed that integrates the complex 3D network structure and the large variation of ligament shapes in a representative volume element. Finite element simulations based on beam elements are most efficient, but for a quantitative prediction, a correction is required that accounts for the effects of the mass around the junctions. To this end, a nodal correction is presented that covers a wide range of parabolic-spherical ligament shapes. Smooth functions are provided that define the extension of the nodal corrected elements along the ligament axis, their radius and their yield stress as functions of the individual ligament shape. It is shown that the increase in radius of the nodal beam elements can be replaced by scaled material parameters. Simulations of randomized FEM beam networks revealed that, in relation to the randomization of the ligament axis, the distribution of the ligament shape has a stronger impact on the macroscopic stress–strain response and should thus receive particular attention during the characterization of nanoporous microstructures. This also emphasizes the importance of the thickness analysis via image processing. Combining a nodal corrected FEM beam model with geometry data derived from image multiplication of the skeleton and Euclidean distance transform of a nanoporous gold FIB-SEM tomography dataset significantly improves the prediction of the stress–strain curve. The remaining deviation is expected to stem from the known underestimation of the real ligament diameter by the Euclidean distance transform as well as local variations in the circularity of the ligaments.en
dc.language.isoende_DE
dc.publisherElsevierde_DE
dc.relation.ispartofMaterials science & engineeringde_DE
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/de_DE
dc.subjectElastic-plastic deformationde_DE
dc.subjectFEM beam Modelde_DE
dc.subjectFIB-SEM tomographyde_DE
dc.subjectNanoporous metalde_DE
dc.subjectNodal correctionde_DE
dc.subject.ddc600: Technikde_DE
dc.titlePrediction of elastic-plastic deformation of nanoporous metals by FEM beam modeling: a bottom-up approach from ligaments to real microstructuresde_DE
dc.typeArticlede_DE
dc.identifier.doi10.15480/882.2977-
dc.type.diniarticle-
dcterms.DCMITypeText-
tuhh.identifier.urnurn:nbn:de:gbv:830-882.0108589-
tuhh.oai.showtruede_DE
tuhh.abstract.englishFor the prediction of elastic-plastic deformation behavior of nanoporous materials, a computationally efficient method is needed that integrates the complex 3D network structure and the large variation of ligament shapes in a representative volume element. Finite element simulations based on beam elements are most efficient, but for a quantitative prediction, a correction is required that accounts for the effects of the mass around the junctions. To this end, a nodal correction is presented that covers a wide range of parabolic-spherical ligament shapes. Smooth functions are provided that define the extension of the nodal corrected elements along the ligament axis, their radius and their yield stress as functions of the individual ligament shape. It is shown that the increase in radius of the nodal beam elements can be replaced by scaled material parameters. Simulations of randomized FEM beam networks revealed that, in relation to the randomization of the ligament axis, the distribution of the ligament shape has a stronger impact on the macroscopic stress–strain response and should thus receive particular attention during the characterization of nanoporous microstructures. This also emphasizes the importance of the thickness analysis via image processing. Combining a nodal corrected FEM beam model with geometry data derived from image multiplication of the skeleton and Euclidean distance transform of a nanoporous gold FIB-SEM tomography dataset significantly improves the prediction of the stress–strain curve. The remaining deviation is expected to stem from the known underestimation of the real ligament diameter by the Euclidean distance transform as well as local variations in the circularity of the ligaments.de_DE
tuhh.publisher.doi10.1016/j.msea.2020.139700-
tuhh.publication.instituteWerkstoffphysik und -technologie M-22de_DE
tuhh.identifier.doi10.15480/882.2977-
tuhh.type.opus(wissenschaftlicher) Artikel-
dc.type.driverarticle-
dc.type.casraiJournal Article-
tuhh.container.volume791de_DE
dc.relation.projectSFB 986: Teilprojekt B4 - Mikromechanisches Materialverhalten hierarchischer Werkstoffede_DE
dc.rights.nationallicensefalsede_DE
dc.identifier.scopus2-s2.0-85087280478de_DE
tuhh.container.articlenumber139700de_DE
local.status.inpressfalsede_DE
local.type.versionpublishedVersionde_DE
item.creatorGNDOdermatt, Anton-
item.creatorGNDRichert, Claudia-
item.creatorGNDHuber, Norbert-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.grantfulltextopen-
item.creatorOrcidOdermatt, Anton-
item.creatorOrcidRichert, Claudia-
item.creatorOrcidHuber, Norbert-
crisitem.author.deptWerkstoffphysik und -technologie M-22-
crisitem.author.orcid0000-0002-4252-9207-
crisitem.author.parentorgStudiendekanat Maschinenbau-
crisitem.project.funderDeutsche Forschungsgemeinschaft (DFG)-
crisitem.project.funderid501100001659-
crisitem.project.funderrorid018mejw64-
crisitem.project.grantno192346071-
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