Abstract
In this paper, a comparison is made between two multiscale methods, namely crystal plasticity finite element and mean field on a material composed of two phases. Both methods are used to homogenize a given microstructure. In order to obtain macroscopic behavior, in the mean field approach, a Self-Consistent scheme is used to evaluate stress and strain partitioning among the phases. In this method, an average of the fields is estimated and local distributions cannot be captured. In parallel, crystal plasticity simulations on Representative Volume Elements (RVEs) composed of hexagonal grains are performed. In these simulations, grain orientations are attributed randomly respecting Mackenzie's distribution function in order to achieve isotropic behavior and macroscopic hardening is extracted from the simulations. The results on macroscopic hardening of both methods are compared to distinguish the extents of validity of mean field homogenization. In addition to Self- Consistent, other mean field schemes such as Voigt, Reuss and Bound-Interpolation are compared in terms of efficiency and accuracy. The comparison manifests that Self-Consistent scheme is capable of predicting material behavior well.
Original language | English |
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Title of host publication | ESAFORM 2021 |
Subtitle of host publication | 24th International Conference on Material Forming |
Publisher | ESAFORM |
DOIs | |
Publication status | Published - 8 Apr 2021 |
Event | 24th International Conference on Material Forming, ESAFORM 2021: Friction and wear in forming processes - Online Event, Belgium Duration: 14 Apr 2021 → 16 Apr 2021 Conference number: 24 http://aimontefiore.org/esaform2021/index.php |
Conference
Conference | 24th International Conference on Material Forming, ESAFORM 2021 |
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Abbreviated title | ESAFORM 2021 |
Country/Territory | Belgium |
City | Online Event |
Period | 14/04/21 → 16/04/21 |
Internet address |
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Dive into the research topics of 'On the multiscale analysis of a two phase material: crystal plasticity versus mean field'. Together they form a unique fingerprint.Datasets
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Research data/data sets associated with PhD dissertation/research of Shahrzad Mirhosseini, entitled: Modeling the Effect of Retained Austenite in Forming of TRIP-Aided Dual Phase Steel
Mirhosseini, S. S. (Creator), van den Boogaard, T. (Supervisor) & Atzema, E. H. (Supervisor), Areda (University of Twente), 4 Jul 2024
https://areda.utsp.utwente.nl:9000/et-nsm/PhD_Thesis_Archive_SMirhosseini.7z
Dataset