Dataset: PRISMS-Fatigue Data - Fatigue resistance of aluminum alloy 7075-T6


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Files
7,108
41.76 GB
Samples
0
in dataset
Workflows
0
documented
Views
2,392
total views
Downloads
652
total downloads
Published
Apr 15, 2021
5 years ago
File Types

7108 files across 4 type(s)

Composition

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Published
Published: 5 years ago
Views
2,392
Downloads
652
DOI
10.13011/m3-rcyy-gx13
License
Attribution License (ODC-By)
Total Size
41.76 GB
Authors
MC Mohammadreza Yaghoobi University of Michigan MC Krzysztof S. Stopka Purdue University MC Aaditya Lakshmanan University of Michigan MC Veera Sundararaghavan University of Michigan MC John E. Allison University of Michigan David L. McDowell Georgia Institute of Technology
Description

This dataset contains four folders for each of the four applications described in the associated PRISMS-Fatigue manuscript. These include modeling the effects of crystallographic texture, grain morphology, free surface, and multiaxial states of strain on the fatigue resistance of aluminum alloy 7075-T6. Each of the folders contain the pre-processed microstructure data necessary to perform PRISMS-Plasticity crystal plasticity finite element method (CPFEM) simulations and the results of each of those simulations. All of the publication results can be entirely reproduced.

Please download the data using Globus so that four distinct folders are available.

Please see the PRISMS-Fatigue GitHub page: https://github.com/prisms-center/Fatigue.

UPDATES:

April 3, 2021: Files entitled "element_band_sets_#.p" were updated to work with changes to the Python scripts available on the GitHub. A Python error of "too many values to unpack" would occur when using the "volume_average_FIPs.py" script because of a change to the "generate_microstructures.py" script. This is now fixed. Also, some additional files are now included.

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Citations
Dataset citation data unavailable.
Paper
PRISMS-Fatigue computational framework for fatigue analysis in polycrystalline metals and alloys
Mohammadreza Yaghoobi, Krzysztof S. Stopka, Aaditya Lakshmanan, Veera Sundararaghavan, John E. Allison, David L. McDowell
npj Computational Materials 2021 10.1038/s41524-021-00506-8
62
cited by
Related Papers
PRISMS-Fatigue computational framework for fatigue analysis in polycrystalline metals and alloys
npj Comput. Mater., 7, 38 (2021)
View paper
Funding
MY, AL, VS and JEA are grateful for the support from the U.S. Department of Energy, Office of Basic Energy Sciences, Division of Materials Sciences and Engineering under Award #DE-SC0008637 as part of the Center for PRedictive Integrated Structural Materials Science (PRISMS Center) at University of Michigan. KSS and DLM are grateful for the support from the Office of Naval Research under grant number N00014-18-1-2784 in their work on interfacing their microstructure-sensitive fatigue simulation digital workflows with PRISMS-Fatigue.