A simple and effective way to evaluate the accuracy of digital image correlation combined with scanning electron microscopy (SEM-DIC)

Publikationen: Beitrag in FachzeitschriftArtikelForschung(peer-reviewed)

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A simple and effective way to evaluate the accuracy of digital image correlation combined with scanning electron microscopy (SEM-DIC). / Glushko, Oleksandr.
in: Results in Materials, Jahrgang 14.2022, Nr. June, 100276, 2022.

Publikationen: Beitrag in FachzeitschriftArtikelForschung(peer-reviewed)

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@article{81ba1a40870f4467982adb87fdcc5940,
title = "A simple and effective way to evaluate the accuracy of digital image correlation combined with scanning electron microscopy (SEM-DIC)",
abstract = "Digital image correlation (DIC) is a powerful technique enabling mapping of local strain fields with the spatial resolution down to a few nanometers when combined with scanning electron microscopy. However, the accuracy of strain determination is frequently unknown due to a large number of experimental parameters influencing it. Here we present a simple and time-effective method for quantitative evaluation of uncertainties in strain values obtained by DIC. By imposing a fictive hydrostatic strain a high absolute accuracy of mean strain determination is demonstrated with deviations from the target value below 0.03%. At the same time, the precision decreases strongly with the reduction of the subset and step sizes reflecting a fundamental tradeoff between the spatial resolution and trueness of local strain values.",
author = "Oleksandr Glushko",
year = "2022",
doi = "10.1016/j.rinma.2022.100276",
language = "English",
volume = "14.2022",
journal = "Results in Materials",
issn = "2590-048X",
publisher = "Elsevier",
number = "June",

}

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TY - JOUR

T1 - A simple and effective way to evaluate the accuracy of digital image correlation combined with scanning electron microscopy (SEM-DIC)

AU - Glushko, Oleksandr

PY - 2022

Y1 - 2022

N2 - Digital image correlation (DIC) is a powerful technique enabling mapping of local strain fields with the spatial resolution down to a few nanometers when combined with scanning electron microscopy. However, the accuracy of strain determination is frequently unknown due to a large number of experimental parameters influencing it. Here we present a simple and time-effective method for quantitative evaluation of uncertainties in strain values obtained by DIC. By imposing a fictive hydrostatic strain a high absolute accuracy of mean strain determination is demonstrated with deviations from the target value below 0.03%. At the same time, the precision decreases strongly with the reduction of the subset and step sizes reflecting a fundamental tradeoff between the spatial resolution and trueness of local strain values.

AB - Digital image correlation (DIC) is a powerful technique enabling mapping of local strain fields with the spatial resolution down to a few nanometers when combined with scanning electron microscopy. However, the accuracy of strain determination is frequently unknown due to a large number of experimental parameters influencing it. Here we present a simple and time-effective method for quantitative evaluation of uncertainties in strain values obtained by DIC. By imposing a fictive hydrostatic strain a high absolute accuracy of mean strain determination is demonstrated with deviations from the target value below 0.03%. At the same time, the precision decreases strongly with the reduction of the subset and step sizes reflecting a fundamental tradeoff between the spatial resolution and trueness of local strain values.

U2 - 10.1016/j.rinma.2022.100276

DO - 10.1016/j.rinma.2022.100276

M3 - Article

VL - 14.2022

JO - Results in Materials

JF - Results in Materials

SN - 2590-048X

IS - June

M1 - 100276

ER -