Engineering grain boundary anisotropy to elucidate grain growth behavior in alumina

Bryan Conry; Joel B. Harley; Michael R. Tonks; Michael S. Kesler; Amanda R. Krause

doi:10.1016/j.jeurceramsoc.2022.06.059

Engineering grain boundary anisotropy to elucidate grain growth behavior in alumina

Bryan Conry, Joel B. Harley, Michael R. Tonks, Michael S. Kesler, Amanda R. Krause

Alloy Behavior & Design

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

Current grain growth models have evolved to account for the relationship between grain boundary energy/mobility anisotropy and the five degrees of grain boundary character. However, the role of grain boundary networks on overall growth kinetics remains poorly understood. To experimentally investigate this problem, a highly textured Al₂O₃ was fabricated by colloidal casting in a strong magnetic field to engineer a unique spatial distribution of grain boundary character. Microstructural evolution was quantified and compared to an untextured sample. From this comparison, a prevalence of (0001)/(0001) terminated grain boundaries with anisotropic networks were identified in the textured sample. These boundaries and their networks were found to be driving grain growth at a faster rate than predicted by models. These findings will allow better modelling of grain growth in real systems by experimentally exploring the impact thereon of grain boundary plane anisotropy and relative energy/mobility differences between neighboring boundaries.

Original language	English
Pages (from-to)	5864-5873
Number of pages	10
Journal	Journal of the European Ceramic Society
Volume	42
Issue number	13
DOIs	https://doi.org/10.1016/j.jeurceramsoc.2022.06.059
State	Published - Oct 2022

Funding

This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program , USA under Grant No. AWD04512–1842473 . Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation , USA. Research was further supported by grant no. DE-SC0020384 funded by the U.S. Department of Energy, Office of Science , USA. This manuscript has been co-authored by UT-Battelle, LLC, under contract DE-AC05–00OR22725 with the US Department of Energy (DOE). The publisher acknowledges the US government license to provide public access under the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

Keywords

Grain boundary network
Grain growth
Texture
Thermomagnetic processing

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10.1016/j.jeurceramsoc.2022.06.059

Cite this

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title = "Engineering grain boundary anisotropy to elucidate grain growth behavior in alumina",

abstract = "Current grain growth models have evolved to account for the relationship between grain boundary energy/mobility anisotropy and the five degrees of grain boundary character. However, the role of grain boundary networks on overall growth kinetics remains poorly understood. To experimentally investigate this problem, a highly textured Al2O3 was fabricated by colloidal casting in a strong magnetic field to engineer a unique spatial distribution of grain boundary character. Microstructural evolution was quantified and compared to an untextured sample. From this comparison, a prevalence of (0001)/(0001) terminated grain boundaries with anisotropic networks were identified in the textured sample. These boundaries and their networks were found to be driving grain growth at a faster rate than predicted by models. These findings will allow better modelling of grain growth in real systems by experimentally exploring the impact thereon of grain boundary plane anisotropy and relative energy/mobility differences between neighboring boundaries.",

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author = "Bryan Conry and Harley, {Joel B.} and Tonks, {Michael R.} and Kesler, {Michael S.} and Krause, {Amanda R.}",

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AU - Krause, Amanda R.

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AB - Current grain growth models have evolved to account for the relationship between grain boundary energy/mobility anisotropy and the five degrees of grain boundary character. However, the role of grain boundary networks on overall growth kinetics remains poorly understood. To experimentally investigate this problem, a highly textured Al2O3 was fabricated by colloidal casting in a strong magnetic field to engineer a unique spatial distribution of grain boundary character. Microstructural evolution was quantified and compared to an untextured sample. From this comparison, a prevalence of (0001)/(0001) terminated grain boundaries with anisotropic networks were identified in the textured sample. These boundaries and their networks were found to be driving grain growth at a faster rate than predicted by models. These findings will allow better modelling of grain growth in real systems by experimentally exploring the impact thereon of grain boundary plane anisotropy and relative energy/mobility differences between neighboring boundaries.

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Engineering grain boundary anisotropy to elucidate grain growth behavior in alumina

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Keywords

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