DRAGen – A deep learning supported RVE generator framework for complex microstructure models

DRAGen – A deep learning supported RVE generator framework for complex microstructure models

In this study an improved version of the Discrete RVE Automation and Generation Framework, also called DRAGen, is presented. The Framework incorporates a generator for Representative Volume Elements (RVEs). Several complex microstructure features, extracted from real microstructures, have been added...

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Bibliographic Details
Main Authors: Manuel Henrich, Niklas Fehlemann, Felix Bexter, Maximilian Neite, Linghao Kong, Fuhui Shen, Markus Könemann, Michael Dölz, Sebastian Münstermann
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:Heliyon
Subjects:
Representative Volume Elements
Crystal plasticity
Microstructure modeling
Deep learning
Microstructure design
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023062114

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http://www.sciencedirect.com/science/article/pii/S2405844023062114

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