A high-throughput technique for determining grain boundary character non-destructively in microstructures with through-thickness grains
Abstract
Grain boundaries (GBs) govern many properties of polycrystalline materials. However, because of their structural variability, our knowledge of GB constitutive relations is still very limited. We present a novel method to characterise the complete crystallography of individual GBs non-destructively, with high-throughput, and using commercially available tools. This method combines electron diffraction, optical reflectance and numerical image analysis to determine all five crystallographic parameters of numerous GBs in samples with through-thickness grains. We demonstrate the technique by measuring the crystallographic character of about 1,000 individual GBs in aluminum in a single run. Our method enables cost- and time-effective assembly of crystallography–property databases for thousands of individual GBs. Furthermore, such databases are essential for identifying GB constitutive relations and for predicting GB-related behaviours of polycrystalline solids.
- Authors:
-
[1];
- Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
- Materials and Chemical Engineering 'G Natta', Politecnico di Milano, Milan (Italy)
- North Carolina State Univ., Raleigh, NC (United States)
- Johns Hopkins Univ., Baltimore, MD (United States)
- Texas A & M Univ., College Station, TX (United States)
- Publication Date:
- Research Org.:
- Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1437260
- Grant/Contract Number:
- SC0008926
- Resource Type:
- Accepted Manuscript
- Journal Name:
- npj Computational Materials
- Additional Journal Information:
- Journal Volume: 2; Journal Issue: 1; Journal ID: ISSN 2057-3960
- Publisher:
- Nature Publishing Group
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; Characterization and analytical techniques; Computational methods; Imaging techniques; Metals and alloys
Citation Formats
Seita, Matteo, Volpi, Marco, Patala, Srikanth, McCue, Ian, Schuh, Christopher A., Diamanti, Maria Vittoria, Erlebacher, Jonah, and Demkowicz, Michael J. A high-throughput technique for determining grain boundary character non-destructively in microstructures with through-thickness grains. United States: N. p., 2016.
Web. doi:10.1038/npjcompumats.2016.16.
Seita, Matteo, Volpi, Marco, Patala, Srikanth, McCue, Ian, Schuh, Christopher A., Diamanti, Maria Vittoria, Erlebacher, Jonah, & Demkowicz, Michael J. A high-throughput technique for determining grain boundary character non-destructively in microstructures with through-thickness grains. United States. https://doi.org/10.1038/npjcompumats.2016.16
Seita, Matteo, Volpi, Marco, Patala, Srikanth, McCue, Ian, Schuh, Christopher A., Diamanti, Maria Vittoria, Erlebacher, Jonah, and Demkowicz, Michael J. Fri .
"A high-throughput technique for determining grain boundary character non-destructively in microstructures with through-thickness grains". United States. https://doi.org/10.1038/npjcompumats.2016.16. https://www.osti.gov/servlets/purl/1437260.
@article{osti_1437260,
title = {A high-throughput technique for determining grain boundary character non-destructively in microstructures with through-thickness grains},
author = {Seita, Matteo and Volpi, Marco and Patala, Srikanth and McCue, Ian and Schuh, Christopher A. and Diamanti, Maria Vittoria and Erlebacher, Jonah and Demkowicz, Michael J.},
abstractNote = {Grain boundaries (GBs) govern many properties of polycrystalline materials. However, because of their structural variability, our knowledge of GB constitutive relations is still very limited. We present a novel method to characterise the complete crystallography of individual GBs non-destructively, with high-throughput, and using commercially available tools. This method combines electron diffraction, optical reflectance and numerical image analysis to determine all five crystallographic parameters of numerous GBs in samples with through-thickness grains. We demonstrate the technique by measuring the crystallographic character of about 1,000 individual GBs in aluminum in a single run. Our method enables cost- and time-effective assembly of crystallography–property databases for thousands of individual GBs. Furthermore, such databases are essential for identifying GB constitutive relations and for predicting GB-related behaviours of polycrystalline solids.},
doi = {10.1038/npjcompumats.2016.16},
journal = {npj Computational Materials},
number = 1,
volume = 2,
place = {United States},
year = {2016},
month = {6}
}
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