Datasets with tag: SEM-DIC
Dataset Description Authors Tags Published Updated Date
Automated Identification of Deformation Twin Systems in Mg WE43 from SEM DIC Zhe Chen, Samantha Daly SEM-DIC Deformation Twinning 5 years ago 4 years ago 2021-04-12 13:31:55
The effects of heat treatment on the response of WE43 Mg alloy: crystal plasticity finite element simulation and SEM-DIC experiment This dataset includes initial EBSD maps of the Magnesium Rare-Earth alloy, SEM-DIC datasets with displacement and strain maps for a given Field of View (FOV), and Crystal Plasticity Finite Element simulations of the strain field, slip and twin activity for the same FOVs by setting up a Boundary Value Problem (BVP) with same boundary displacement conditions as the experimental data. The simulations have been performed using the PRISMS-CPFE code. The experimental input displacement and strain maps are in .mat format, readable by programs such as Matlab. The output files are in the *.vtu format, readable by programs such as VisIt and ParaView. 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. Sriram Ganesan, Mohammadreza Yaghoobi, Alan Githens, Zhe Chen, Samantha Daly, John Allison, Veera Sundararaghavan Magnesium Deformation modes Digital Image Correlation Crystal Plasticity PRISMS-CPFE WE43 SEM-DIC 5 years ago 4 years ago 2021-04-12 13:31:55
Deformation twinning and detwinning in extruded Mg-4Al Deformation twinning and detwinning in extruded Mg-4Al were investigated using in-situ SEM-DIC experiments and crystal plasticity finite element (CPFE) simulation. In this study, the in-situ SEM-DIC method was used to provide a unique set of data including twin/detwin characteristics and twin area fraction in addition to strain maps. A statistical analysis of the activation of twin variants and twin area fraction during both twinning and detwinning was conducted. A strong correlation was found between twin growth/shrinkage and the Schmid Factor (SF) for individual twin variants Higher twin SF during loading and unloading led to higher twin growth and shrinkage, respectively. However, after the applied compressive strain was removed, the pattern of the twin area fractions of the residual twin variants versus their nominal SFs did not follow the trend observed at the maximum compressive strain. Using a systematic methodology and an advanced twin/detwin model, the PRISMS-Plasticity CPFE simulation was calibrated using experimentally determined stress versus strain and twin area fraction versus strain information. A comprehensive evaluation of the CPFE model was conducted to determine its ability to capture the statistics of twin variants activation and twin area fraction. CPFE accurately captured the statistical aspects of both twinning and detwinning. It also predicted the first dominant twin variant for 47.5% of the grains and at least one of the two dominant twin variants for 80% of the grains at maximum compressive strain. Mohammadreza yaghoobi PRISMS-Plasticity SEM-DIC twinning detwinning CPFE 3 years ago 3 years ago 2022-05-16 17:18:19