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Datasets acquired with correlative microscopy method for delineation of prior austenite grain boundaries and characterization of prior austenite grain size in a low-alloy high-performance steel

Authors: V. Sinha; M. Gonzales; E.J. Payton;

Datasets acquired with correlative microscopy method for delineation of prior austenite grain boundaries and characterization of prior austenite grain size in a low-alloy high-performance steel

Abstract

Prior studies on martensitic steel microstructures have either delineated the prior austenite grain boundaries via chemical etching or reconstructed the prior austenite grains from crystallographic orientations measured with electron backscattered diffraction (EBSD). To appropriately validate the reconstruction algorithms, the EBSD data need to be collected on martensitic microstructures, where the prior austenite grain boundaries are delineated with techniques such as chemical etching that can serve as ground truth for comparison with the reconstructed prior austenite grains. In this article, the method of correlative microscopy is employed to collect scanning electron microscope (SEM) image and automated EBSD scan data from the same region of an appropriately etched steel specimen. The SEM images and automated EBSD scan data are presented for five different fields of view in the specimen. These datasets are analyzed and discussed in the accompanying article titled "Correlative microscopy for quantification of prior austenite grain size in AF9628 steel" [1].

Keywords

Q1-390, Science (General), Computer applications to medicine. Medical informatics, Materials Science, R858-859.7

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Top 10%
Green
gold