31-Oct-2022 Tabular Data https://fordatis.fraunhofer.de/handle/fordatis/292.2
http://dx.doi.org/10.24406/fordatis/225.2

Data for "Machine learning-based sampling of virtual experiments within the full stress state"

Wessel, Alexander (Fraunhofer Institute for Mechanics of Materials IWM; Chair of Metal Forming and Casting, Technical University of Munich); Morand, Lukas (Fraunhofer Institute for Mechanics of Materials IWM); Butz, Alexander (Fraunhofer Institute for Mechanics of Materials IWM); Helm, Dirk (Fraunhofer Institute for Mechanics of Materials IWM); Volk, Wolfram (Chair of Metal Forming and Casting, Technical University of Munich)

IWM Fraunhofer-Institut für Werkstoffmechanik
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Abstract

Data for "Machine learning-based sampling of virtual experiments within the full stress state" by Alexander Wessel, Lukas Morand, Alexander Butz, Dirk Helm and Wolfram Volk.
Classification
620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
531 Klassische Mechanik, Festkörpermechanik
672 Eisen, Stahl, andere Eisenlegierungen
Keywords
Crystal plasticity
Yield condition
Machine learning
Adaptive sampling
DX56D deep drawing steel
Yld2004-27p
Relationships
Is supplement to
10.1016/j.ijmecsci.2024.109307
Funder
Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
Deutsche Forschungsgemeinschaft DFG
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Version History
Version Item Date Summary
2 fordatis/292.2 2024-05-13 10:29:56.092 Nachreichung von Daten zur finalen Veröffentlichung.
1 fordatis/292 2022-11-17 12:44:59.0
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