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dc.contributor.authorMorand, Lukas-
dc.contributor.authorIraki, Tarek-
dc.contributor.authorDornheim, Johannes-
dc.contributor.authorPagenkopf, Jan-
dc.contributor.authorHelm, Dirk-
dc.date.accessioned2021-05-19T08:19:05Z-
dc.date.available2021-05-19T08:19:05Z-
dc.date.issued2021-
dc.identifier.urihttps://fordatis.fraunhofer.de/handle/fordatis/204-
dc.identifier.urihttp://dx.doi.org/10.24406/fordatis/131-
dc.description.abstractThis is a collection of sets of artificially generated crystallographic textures of steel sheets, histogram-based representations of them and their corresponding properties. The properties are calculated using a Taylor-type crystal plasticity model.en
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddcDDC::500 Naturwissenschaften und Mathematik::530 Physik::531 Klassische Mechanik, Festkörpermechaniken
dc.subject.ddcDDC::600 Technik, Medizin, angewandte Wissenschaften::670 Industrielle Fertigung::671 Metallverarbeitung und Rohprodukte aus Metallen
dc.titleArtificially generated crystallographic textures of steel sheets and their corresponding properties calculated by a Taylor-type crystal plasticity modelen
dc.typeTabular Dataen
dc.contributor.funderDeutsche Forschungsgemeinschaft DFGen
fordatis.instituteIWM Fraunhofer-Institut für Werkstoffmechaniken
fordatis.rawdatafalseen
fordatis.sponsorship.projectid415804944en
fordatis.sponsorship.projectnameMaßgeschneiderte Werkstoffeigenschaften durch Mikrostrukturoptimierung: Maschinelle Lernverfahren zur Modellierung und Inversion von Struktur-Eigenschafts-Beziehungen und deren Anwendung auf Blechwerkstoffeen
Appears in Collections:Fraunhofer-Institut für Werkstoffmechanik IWM

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training_set_properties.npy2,34 MBUnknownDownload/Open
training_set_orientations.npy4,69 GBUnknownDownload/Open
test_set_properties.npy468,88 kBUnknownDownload/Open
training_set_angular_hist_512_3.npy200 MBUnknownDownload/Open
test_set_orientations.npy937,5 MBUnknownDownload/Open
test_set_angular_hist_512_3.npy40 MBUnknownDownload/Open
anomalies_orientations.npy937,5 MBUnknownDownload/Open
anomalies_angular_hist_512_3.npy40 MBUnknownDownload/Open
README.txt1,94 kBTextDownload/Open
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