Dataset: Characterization of cyclic twin evolution in a Mg-Nd alloy using high energy X-ray diffraction microscopy

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Published: 3 years ago Views: 573 Downloads: 155 DOI: 10.13011/m3-01x6-es31 License: Attribution License (ODC-By) Size: 90.51 GB
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  • Duncan Greeley
  • Mohammadreza Yaghoobi
  • Darren C. Pagan
  • Veera Sundararaghavan
  • John Allison

Grain-scale twinning and detwinning in extruded Mg-2.4wt.%Nd was characterized using combined far-field and near-field High Energy X-Ray Diffraction Microscopy (HEDM) during fully reversed tension-compression cyclic straining. Nucleation of {101 ̅2} twins were identified by tracking the appearance or disappearance of {0002} diffraction peaks for all possible twin variants of each grain in the unloaded state. The evolution of twin volume fraction was measured by combining a near-field HEDM reconstructed 3D grain morphology and far-field HEDM spot integrated intensity during cyclic loading. The mechanical response and twin activity in the near-field HEDM reconstructed volume were simulated using a crystal plasticity finite element model with an advanced twinning-detwinning algorithm to characterize the impact of binary Nd alloying on critical resolved shear stresses for the operative slip modes and extension twinning. Twinning is observed during loading parallel to the extrusion axis in both tension and compression due to the weak rotated basal extrusion texture, with a higher total twin volume fraction and number of active variants observed during tensile loading. Twin activity is detected predominantly in large grains, and grains nominally oriented favorably for extension twinning and unfavorably for prismatic slip. Twin growth is observed to lead to elastic strain shielding in the parent lattice during continued macroscopic deformation, and elastic strain accommodated by twin growth is preferentially shifted to pyramidal II <c+a> slip systems during reversed displacement.

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. DG also acknowledges support from the University of Michigan Rackham Merit Fellowship Program. We acknowledge Bruce Williams and CanmetMATERIALS for providing the extruded materials. We also thank Dr. Tracy Berman, Dr. Qianying Shi, Dr. Aeriel Murphy-Leonard, and Dr. Zhenjie Yao who assisted in collecting the HEDM data.

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