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Title: A high-throughput technique for determining grain boundary character non-destructively in microstructures with through-thickness grains

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:
ORCiD logo [1] ;  [2] ;  [3] ;  [4] ;  [1] ;  [2] ;  [4] ;  [5]
  1. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
  2. Materials and Chemical Engineering 'G Natta', Politecnico di Milano, Milan (Italy)
  3. North Carolina State Univ., Raleigh, NC (United States)
  4. Johns Hopkins Univ., Baltimore, MD (United States)
  5. Texas A & M Univ., College Station, TX (United States)
Publication Date:
Grant/Contract Number:
SC0008926
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
Research Org:
Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; Characterization and analytical techniques; Computational methods; Imaging techniques; Metals and alloys
OSTI Identifier:
1437260

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., 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. doi: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.. 2016. "A high-throughput technique for determining grain boundary character non-destructively in microstructures with through-thickness grains". United States. doi: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}
}