期刊
MATERIALS CHARACTERIZATION
卷 158, 期 -, 页码 -出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.matchar.2019.109984
关键词
Grain boundary alignment; Electron backscatter diffraction; Digital image correlation; K-means clustering
类别
资金
- United States Department of Energy, Office of Basic Energy Sciences, Division of Materials Sciences and Engineering [DE-SC0013971]
- UCSB MRSEC [NSF DMR 1720256]
- U.S. Department of Energy [DE-AC52-07NA27344]
- U.S. Department of Energy (DOE) [DE-SC0013971] Funding Source: U.S. Department of Energy (DOE)
The emergence of small-scale deformation mapping by a combination of scanning electron microscopy and digital image correlation (SEM-DIC) has enabled full-field investigations into the complex roles of microstructure on microscale deformation mechanisms. However, these investigations are hindered by errors in alignment between the microstructure data, generally acquired by electron backscatter diffraction (EBSD), and the microscale strain data obtained by SEM-DIC. Distortions, stitching artifacts, and spatial resolution differences between microstructure and strain fields can lead to misalignments on the order of mu ms. This alignment uncertainty introduces error into microstructure-strain localization analyses and precludes the examination of deformation mechanisms near grain boundaries. To improve alignment between EBSD-obtained grain boundaries and SEM-DIC strain data, an approach was created wherein a mantle was first established around the EBSD-acquired grain boundaries. Strain data was then clustered within this mantle using a k-means algorithm to identify grain boundary strain localization, and these boundary points were fit to obtain a continuous curve for each individual boundary. Clustered point outliers, such as those due to grain boundary-local dislocation slip, were statistically identified by using an absolute error threshold and removed from the grain boundary fit. The resulting identification of grain boundaries in the microscale strain data is significantly improved from EBSD-identified boundaries.
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