Using spectral-based representative volume element crystal plasticity 
simulations to predict yield surface evolution during large scale forming 
simulations

Han, Fengbo; Diehl, Martin; Roters, Franz; Raabe, Dierk

doi:10.1016/j.jmatprotec.2019.116449

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Using spectral-based representative volume element crystal plasticity simulations to predict yield surface evolution during large scale forming simulations

Han, F., Diehl, M., Roters, F., & Raabe, D. (2020). Using spectral-based representative volume element crystal plasticity simulations to predict yield surface evolution during large scale forming simulations. Journal of Materials Processing Technology, 277: 116449. doi:10.1016/j.jmatprotec.2019.116449.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0004-E7CD-1 Version Permalink: https://hdl.handle.net/21.11116/0000-0004-E7CE-0

Genre: Journal Article

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Creators:
Han, Fengbo¹, Author
Diehl, Martin^{1, 2}, Author
Roters, Franz¹, Author
Raabe, Dierk³, Author

Affiliations:
1Theory and Simulation, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863392
2Integrated Computational Materials Engineering, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_3069168
3Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863381

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Language(s): eng - English

Dates: Published Online: 2019-10-03Date issued: 2020-03

Publication Status: Issued

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Rev. Type: Peer

Identifiers: DOI: 10.1016/j.jmatprotec.2019.116449

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Title: Journal of Materials Processing Technology

Abbreviation : J. Mater. Process. Technol.

Source Genre: Journal

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Pages: - Volume / Issue: 277 Sequence Number: 116449 Start / End Page: - Identifier: ISSN: 0924-0136
CoNE: https://pure.mpg.de/cone/journals/resource/954928575727