|
Quantification of Cyclic Twinning-Detwinning Behavior During Low-Cycle Fatigue of Pure Magnesium Using High Energy X-Ray Defraction
|
The dataset contains the data supplement for: A.D. Murphy-Leonard, D.C. Pagan, A. Beaudoin, M.P. Miller, J.E. Allison, Quantification of cyclic twinning-detwinning behavior during low-cycle fatigue of pure magnesium using high energy X-ray diffraction. International Journal of Fatigue, 125 (2019), 314-323. https://doi.org/10.1016/j.ijfatigue.2019.04.011
The cyclic twinning and detwinning behavior of extruded Mg was investigated using in-situ high energy X-ray diffraction (HEXD) under fully-reversed low cycle fatigue conditions. Measurements were conducted at three levels of applied strain. The initial texture was such that the c-axis in most grains was perpendicular to the loading direction, an orientation in which extension twinning is favored during compressive loading. At strain amplitudes greater than 0.5%, tension-compression asymmetry was observed during cyclic loading and related to cyclic twinning and detwinning. The twinning and detwinning behavior were characterized by monitoring the evolution of X-ray diffraction peaks associated with the basal {0 0 0 2} planes throughout selected cycle. At cyclic strains greater than 0.5%, in-situ HEXD results show that twinning occurs during the compression portion of the cycle and, at early stages of fatigue, most twins are detwinned under reversed loading during the tensile portion of the cycle. It was also observed that as the number of fatigue cycles increases the twin volume fraction increases. After 100–200 fatigue cycles, the detwinning process was observed to be incomplete and a significant fraction of residual twins remained throughout an entire cycle. Using electron back scatter diffraction imaging on the surface of interrupted fatigue tests, twinning and detwinning behavior was investigated and the presence of persistent twins, including residual twins, was observed. At a lower applied strain (0.4%), twinning and tension-compression yield asymmetries associated with twinning were not observed. |
Aeriel Murphy-Leonard, John Allison, Darren Pagan, Armand Beaudoin, Matthew Miller |
Magnesium
Low-cycle fatigue
Twinning
Cyclic Stress-Strain
|
2 years ago |
1 day ago |
2025-07-09 18:35:03 |
|
PRISMS-Plasticity: An open-source crystal plasticity finite element software
|
BCC_Polycrystal_Tension:
In this example, the capability of the PRISMS-Plasticity CPFE software to model BCC polycrystalline samples is demonstrated. To do so, the response of a polycrystalline sample of the β titanium alloy Timetal 21S during uniaxial tension is modeled. The results can be compared to simulation results reported by Qidwai et al. (2009).
FCC_Polycrystal_NeperConformingMesh:
Here, the PRISMS-Plasticity CPFE software is used to replicate the results presented by Anand and Kothari (1996) for polycrystalline OFHC copper with initial random orientations during a compression experiment. A polycrystalline copper sample consists of 200 randomly oriented grains is generated using Neper. The conforming FE discretization was generated from the Neper output by converting the tetrahedral elements to hexahedral elements using the tet-to-hex converter which is included as a utility software within the PRISMS-Plasticity CPFE code.
FCC_Polycrystal_NeperNonConformingMesh:
Here, the PRISMS-Plasticity CPFE software is used to replicate the results presented by Anand and Kothari (1996) for polycrystalline OFHC copper with initial random orientations during a compression experiment. A polycrystalline copper sample consists of 200 randomly oriented grains is generated using Neper. The nonconforming FE discretization with a regular 32×32×32 mesh was generated to model the polycrystalline sample.
FCC_Polycrystal_RandomOrientationBlock:
Here, the PRISMS-Plasticity CPFE software is used to replicate the results presented by Anand and Kothari (1996) for polycrystalline OFHC copper with initial random orientations during a compression experiment. the isotropic polycrystalline sample is modeled as an aggregate of 400 single crystals with random orientations, with each grain being modeled by a single eight-node linear hexahedral element. Accordingly, a 5×8×10 FE cubic mesh is generated in the x, y, and z directions, which each element represents a single grain.
HCP_Polycrystal_Compression:
The twinning model used in PRISMS-Plasticity CPFE, simulation results are compared against the experimental results during uniaxial compression test reported by Wu (2009) for extruded Mg alloy ZK60A sample at room temperature. The polycrystalline sample is modeled as an aggregate of 1080 single crystals, which reproduces the extruded sample, each grain being modeled by a single eight-node linear hexahedral element. Accordingly, an 8×9×15 FE cubic mesh is generated in the x, y, and z directions, in which each element represents a single grain.
HCP_Polycrystal_Tension:
The twinning model used in PRISMS-Plasticity CPFE, simulation results are compared against the experimental results during uniaxial tension test reported by Wu (2009) for extruded Mg alloy ZK60A sample at room temperature. The polycrystalline sample is modeled as an aggregate of 1080 single crystals, which reproduces the extruded sample, each grain being modeled by a single eight-node linear hexahedral element. Accordingly, an 8×9×15 FE cubic mesh is generated in the x, y, and z directions, in which each element represents a single grain. 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 and Office of the Vice President for Research. PRISMS Center, Materials Science and Engineering, University of Michigan, , Ann Arbor, MI 48109, USA. |
Mohammadreza Yaghoobi, Sriram Ganesan, Srihari Sundar, Aaditya Lakshmanan, Shiva Rudraraju, John E. Allison, Veera Sundararaghavan |
Twinning
Crystal plasticity finite element
PRISMS-Plasticity
Open source software
Parallel performance
|
4 years ago |
4 years ago |
2021-04-19 17:11:30 |
|
Extension twinning in rolled Mg alloy WE43
|
The present work investigates the extension twinning in rolled Mg alloy WE43 using a combination of scanning electron microscopy with digital image correlation (SEM-DIC) and crystal plasticity finite element (CPFE) simulation. Rolled Mg alloy WE43 was subjected to in-situ uniaxial compression along its rolling direction. Full-field displacement maps were gathered using SEM-DIC during load pauses, and twin variant maps were obtained from these displacements using post-processing analysis. CPFE was used to investigate the experimental results via a multi-scale twinning model developed for HCP polycrystals. In addition to stress-strain curves, crystal plasticity parameters were calibrated using the variation of twin area versus the applied strain to accurately capture the twinning parameters. A new SEM-DIC pipeline was also developed for the open-source PRISMS-Plasticity CPFE software that can read in the precise deformation map generated by SEM-DIC experiment as an input boundary condition for the finite element simulation and conduct the CPFE simulation. It is shown that CPFE can successfully capture the macroscopic response and model both strain and twin area fraction maps. However, the model cannot capture sharp strain localization and twinning bands, instead it smears certain areas of localizations. |
Mohammadreza Yaghoobi, Zhe Chen, Veera Sundararaghavan, John E. Allison, Samantha Daly |
Magnesium
Twinning
Crystal plasticity finite element
PRISMS-Plasticity
Digital image correlation
Deformation mechanisms
|
4 years ago |
4 years ago |
2021-04-12 13:31:55 |
|
PRISMS-Plasticity TM: An open-source rapid texture evolution analysis pipeline
|
The data base includes the input files for four different types of simulation. The first example is the evolution of texture during uniaxial compression of a polycrystalline OFHC copper sample with initial random texture. In the second example, the effect of the addition of rare earth elements to Mg is investigated by simulating the texture evolution in Mg-3Y alloy during rolling. The importance of twinning on the texture evolution of Mg alloys is highlighted in a third example, in which the evolution of texture in extruded Mg alloy ZK60A sample is captured during the uniaxial compression along the extrusion direction. Finally, the simulation inputs to generate results for "Application to machine learning frameworks" is presented. Also, the Jupyter Notebook to generate the results for Machine learning applications are also included. |
Mohammadreza yaghoobi, John E. Allison, Veera Sundararaghavan |
Twinning
PRISMS-Plasticity
ICME
Texture
Machine learning
Crystal plasticity
PRISMS-Plasticity TM
|
2 years ago |
2 years ago |
2023-04-26 18:09:53 |