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High‐throughput determination of grain size distributions by EBSD with low‐discrepancy sampling.

Authors :
Long, Timothy J. H.
Holbrook, William
Hufnagel, Todd C.
Mueller, Tim
Source :
Journal of Microscopy. Jan2024, Vol. 293 Issue 1, p20-37. 18p.
Publication Year :
2024

Abstract

Because microstructure plays an important role in the mechanical properties of structural materials, developing the capability to quantify microstructures rapidly is important to enabling high‐throughput screening of structural materials. Electron backscatter diffraction (EBSD) is a common method for studying microstructures and extracting information such as grain size distributions (GSDs), but is not particularly fast and thus could be a bottleneck in high‐throughput systems. One approach to accelerating EBSD is to reduce the number of points that must be scanned. In this work, we describe an iterative method for reducing the number of scan points needed to measure GSDs using incremental low‐discrepancy sampling, including on‐the‐fly grain size calculations and a convergence test for the resulting GSD based on the Kolmogorov–Smirnov test. We demonstrate this method on five real EBSD maps collected from magnesium AZ31B specimens and compare the effectiveness of sampling according to two different low discrepancy sequences, the Sobol and R2 sequences, and random sampling. We find that R2 sampling is able to produce GSDs that are statistically very similar to the GSDs of the full density grids using, on average, only 52% of the total scan points. For EBSD maps that contained monodisperse GSDs and over 1000 grains, R2 sampling only required an average of 39% of the total EBSD points. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00222720
Volume :
293
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Microscopy
Publication Type :
Academic Journal
Accession number :
174514979
Full Text :
https://doi.org/10.1111/jmi.13247