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Title: Improving Microstructural Quantification in 3D FIB-SEM Tomography

Abstract

A detailed understanding of 3D microstructural features is crucial during postprocessing of the acquired data, while determining microstructural properties. Focused ion beam and scanning electron microscopy (fib-sem) is an ideal technique for the acquisition and quantification of 3D microstructures in subsurface features. In this work, we evaluated and implemented approaches to quantify 3D morphological features of plutonium oxalate and oxide particles. Image analysis, as well as statistical analysis were utilized to study the effect of process variables on the pore morphology of plutonium oxalate and oxide particles. The primary results were the creation of morphological maps of particles and identify indicators that correlated parameters allowing for discrimination between direct and reverse strike processes. This enabled us to properly quantify and map particles with their images obtained via sem. For this project, the highest correlation was found to be between Volume and Sphericity (R2 = 0.7432) for the Revere Strike process, and Volume % and Sphericity (R2 = 0.7450) for the Direct Strike process.

Authors:
 [1];  [2];  [2]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. Creighton Univ., Omaha, NE (United States)
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA); US Department of Homeland Security (DHS)
OSTI Identifier:
1566797
Report Number(s):
LLNL-TR-791108
988728
DOE Contract Number:  
AC52-07NA27344; HSHQDN-16-X-00044
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
materials science; chemistry

Citation Formats

Ogura, Kaleolani S., Donald, Scott B., and Chung, Brandon W. Improving Microstructural Quantification in 3D FIB-SEM Tomography. United States: N. p., 2019. Web. doi:10.2172/1566797.
Ogura, Kaleolani S., Donald, Scott B., & Chung, Brandon W. Improving Microstructural Quantification in 3D FIB-SEM Tomography. United States. https://doi.org/10.2172/1566797
Ogura, Kaleolani S., Donald, Scott B., and Chung, Brandon W. 2019. "Improving Microstructural Quantification in 3D FIB-SEM Tomography". United States. https://doi.org/10.2172/1566797. https://www.osti.gov/servlets/purl/1566797.
@article{osti_1566797,
title = {Improving Microstructural Quantification in 3D FIB-SEM Tomography},
author = {Ogura, Kaleolani S. and Donald, Scott B. and Chung, Brandon W.},
abstractNote = {A detailed understanding of 3D microstructural features is crucial during postprocessing of the acquired data, while determining microstructural properties. Focused ion beam and scanning electron microscopy (fib-sem) is an ideal technique for the acquisition and quantification of 3D microstructures in subsurface features. In this work, we evaluated and implemented approaches to quantify 3D morphological features of plutonium oxalate and oxide particles. Image analysis, as well as statistical analysis were utilized to study the effect of process variables on the pore morphology of plutonium oxalate and oxide particles. The primary results were the creation of morphological maps of particles and identify indicators that correlated parameters allowing for discrimination between direct and reverse strike processes. This enabled us to properly quantify and map particles with their images obtained via sem. For this project, the highest correlation was found to be between Volume and Sphericity (R2 = 0.7432) for the Revere Strike process, and Volume % and Sphericity (R2 = 0.7450) for the Direct Strike process.},
doi = {10.2172/1566797},
url = {https://www.osti.gov/biblio/1566797}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jul 29 00:00:00 EDT 2019},
month = {Mon Jul 29 00:00:00 EDT 2019}
}