Dataset: Effects of Zn and Ca on deformation texture evolution of Mg-Zn-Ca alloys at elevated temperatures


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Files
642
6.41 GB
Samples
14
in dataset
Workflows
0
documented
Views
388
total views
Downloads
3
total downloads
Published
Oct 1, 2025
11 months ago
File Types

642 files across 5 type(s)

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Published
Published: 11 months ago
Views
388
Downloads
3
DOI
10.13011/m3-493q-mq33
License
Attribution License (ODC-By)
Total Size
6.41 GB
Authors
MC Mohammadreza yaghoobi MC Tracy Berman University of Michigan MC John Allison University of Michigan
Description

This work utilized crystal plasticity simulations and experimental thermo-mechanical processing to examine how Zn and Ca content affects texture evolution in Mg-Zn-Ca alloys during simulated hot rolling. Four different compositions were studied: unalloyed Mg and three Mg alloys of ZX0p50 (Mg- 0.5 wt% Zn- 0.1 wt% Ca), ZX30 (Mg-3 wt% Zn- 0.1 wt% Ca), and ZX31 (Mg-3 wt% Zn- 0.3 wt% Ca). Multi-pass Gleeble experiments simulated hot rolling using plane strain conditions.

The paper associated with this dataset also utlizes the following samples from the dataset titled: "Coupling thermomechanical processing and alloy design to improve textures in Mg-Zn-Ca sheet alloys"
DOI: 10.13011/m3-hvkb-rm86
pure_d34
ZX20_d21
ZX31_d32

Binary 101 Excel 4 Image 258 Text 253 Unknown 26
EBSD 87 Gleeble 13 Grain Analysis 1 Heat Treatment 2 Optical Microscopy 17 Receive Samples 14 SEM 1 Texture 16
Citations

No citation data found for this dataset or its associated papers.

Related Papers
Effects of Zn and Ca on the deformation texture evolution of Mg–Zn–Ca alloys at elevated temperatures
Yaghoobi, M., Berman, T., & Allison, J. E. (2025). Effects of Zn and Ca on the deformation texture evolution of Mg–Zn–Ca alloys at elevated temperatures. Journal of Materials Research and Technology, 35, 37–50. https://doi.org/10.1016/j.jmrt.2024.12.236
View paper
Funding
This work was supported by 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. We also acknowledge the financial cost-share support of University of Michigan College of Engineering.