skip to main content

DOE PAGESDOE PAGES

Title: Acquisition of Real-Time Operation Analytics for an Automated Serial Sectioning System

Mechanical serial sectioning is a highly repetitive technique employed in metallography for the rendering of 3D reconstructions of microstructure. While alternate techniques such as ultrasonic detection, micro-computed tomography, and focused ion beam milling have progressed much in recent years, few alternatives provide equivalent opportunities for comparatively high resolutions over significantly sized cross-sectional areas and volumes. To that end, the introduction of automated serial sectioning systems has greatly heightened repeatability and increased data collection rates while diminishing opportunity for mishandling and other user-introduced errors. Unfortunately, even among current, state-of-the-art automated serial sectioning systems, challenges in data collection have not been fully eradicated. Therefore, this paper highlights two specific advances to assist in this area; a non-contact laser triangulation method for assessment of material removal rates and a newly developed graphical user interface providing real-time monitoring of experimental progress. Furthermore, both are shown to be helpful in the rapid identification of anomalies and interruptions, while also providing comparable and less error-prone measures of removal rate over the course of these long-term, challenging, and innately destructive characterization experiments.
Authors:
 [1] ;  [1] ;  [1] ;  [1]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Report Number(s):
SAND-2016-8182J
Journal ID: ISSN 2193-9764; 646817
Grant/Contract Number:
AC04-94AL85000
Type:
Accepted Manuscript
Journal Name:
Integrating Materials and Manufacturing Innovation
Additional Journal Information:
Journal Volume: 6; Journal Issue: 2; Journal ID: ISSN 2193-9764
Publisher:
Springer
Research Org:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org:
USDOE National Nuclear Security Administration (NNSA)
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; Mechanical serial sectioning; 3D reconstruction; Optical microscopy; Characterization; Closed-loop
OSTI Identifier:
1333618

Madison, Jonathan D., Underwood, O. D., Poulter, Gregory A., and Huffman, Elizabeth M.. Acquisition of Real-Time Operation Analytics for an Automated Serial Sectioning System. United States: N. p., Web. doi:10.1007/s40192-017-0091-6.
Madison, Jonathan D., Underwood, O. D., Poulter, Gregory A., & Huffman, Elizabeth M.. Acquisition of Real-Time Operation Analytics for an Automated Serial Sectioning System. United States. doi:10.1007/s40192-017-0091-6.
Madison, Jonathan D., Underwood, O. D., Poulter, Gregory A., and Huffman, Elizabeth M.. 2017. "Acquisition of Real-Time Operation Analytics for an Automated Serial Sectioning System". United States. doi:10.1007/s40192-017-0091-6. https://www.osti.gov/servlets/purl/1333618.
@article{osti_1333618,
title = {Acquisition of Real-Time Operation Analytics for an Automated Serial Sectioning System},
author = {Madison, Jonathan D. and Underwood, O. D. and Poulter, Gregory A. and Huffman, Elizabeth M.},
abstractNote = {Mechanical serial sectioning is a highly repetitive technique employed in metallography for the rendering of 3D reconstructions of microstructure. While alternate techniques such as ultrasonic detection, micro-computed tomography, and focused ion beam milling have progressed much in recent years, few alternatives provide equivalent opportunities for comparatively high resolutions over significantly sized cross-sectional areas and volumes. To that end, the introduction of automated serial sectioning systems has greatly heightened repeatability and increased data collection rates while diminishing opportunity for mishandling and other user-introduced errors. Unfortunately, even among current, state-of-the-art automated serial sectioning systems, challenges in data collection have not been fully eradicated. Therefore, this paper highlights two specific advances to assist in this area; a non-contact laser triangulation method for assessment of material removal rates and a newly developed graphical user interface providing real-time monitoring of experimental progress. Furthermore, both are shown to be helpful in the rapid identification of anomalies and interruptions, while also providing comparable and less error-prone measures of removal rate over the course of these long-term, challenging, and innately destructive characterization experiments.},
doi = {10.1007/s40192-017-0091-6},
journal = {Integrating Materials and Manufacturing Innovation},
number = 2,
volume = 6,
place = {United States},
year = {2017},
month = {3}
}