Campus Units

Ames Laboratory, Materials Science and Engineering

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

5-1-2017

Journal or Book Title

Acta Materialia

Volume

130

First Page

164

Last Page

176

DOI

10.1016/j.actamat.2017.03.041

Abstract

Grain boundary engineering and other fundamental materials science problems (e.g., phase transformations and physical properties) require an improvement in the understanding of the type and population of grain boundaries in a given system – yet, databases are limited in number and spare in detail, including for hcp crystals such as zirconium. One way to rapidly obtain databases to analyze is to use small-grained materials and high spatial resolution orientation microscopy techniques, such as ASTAR™/precession electron diffraction. To demonstrate this, a study of grain boundary character distributions was conducted for α-zirconium deposited at room temperature on fused silica substrates using physical vapor deposition. The orientation maps of the nanocrystalline thin films were acquired by the ASTAR™/precession electron diffraction technique, a new transmission electron microscope based orientation microscopy method. The reconstructed grain boundaries were classified as pure tilt, pure twist, 180°-twist and 180°-tilt grain boundaries based on the distribution of grain boundary planes with respect to the angle/axis of misorientation associated with grain boundaries. The results of the current study were compared to the results of a similar study on α-titanium and the molecular dynamics results of grain boundary energy for α-titanium.

Comments

This is a manuscript of an article published as Ghamarian, I., P. Samimi, G. S. Rohrer, and P. C. Collins. "Determination of the five parameter grain boundary character distribution of nanocrystalline alpha-zirconium thin films using transmission electron microscopy." Acta Materialia 130 (2017): 164-176. doi: 10.1016/j.actamat.2017.03.041 Posted with permission.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Copyright Owner

Elsevier, B.V.

Language

en

File Format

application/pdf

Available for download on Tuesday, May 01, 2018

Published Version

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