Advanced Real-Time Optical Imaging: Part I
Abstract
Materials research is significantly assisted by information gathered from imaging. Images may be macroscopic or microscopic; different imaging techniques ranging from conventional microscopes to synchrotron tomography are selected for various research purposes and goals. While most materials imaging is performed in static environments at room temperature because of its appropriateness (or due to device limitations), simple optical imaging may transform into a powerful tool if it is dynamically captured during materials treatments, processing, or physical/chemical exposures. Real-time observations this way provide researchers with vital information on materials behaviors under controlled but various conditions. In the field of energy materials, it is not uncommon to require materials studies under high-temperature, high-pressure, and/or corrosive conditions. In gasifiers, for example, investigations of sensor alloy degradation, slag-refractory reactions, and coal agglomeration require samples to undergo severe environments where direct imaging would be difficult using conventional experimental methods. Finally, while post mortem analysis often provides critical information, interpretation may sometimes be complicated without confirming such occurrences under those conditions.
- Authors:
-
- National Energy Technology Lab. (NETL), Albany, OR (United States); AECOM, Albany, OR (United States)
- Publication Date:
- Research Org.:
- National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
- Sponsoring Org.:
- USDOE Office of Fossil Energy (FE)
- OSTI Identifier:
- 1478366
- Grant/Contract Number:
- FE0004000
- Resource Type:
- Accepted Manuscript
- Journal Name:
- JOM. Journal of the Minerals, Metals & Materials Society
- Additional Journal Information:
- Journal Volume: 70; Journal Issue: 7; Journal ID: ISSN 1047-4838
- Publisher:
- Springer
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE
Citation Formats
Nakano, Jinichiro. Advanced Real-Time Optical Imaging: Part I. United States: N. p., 2018.
Web. doi:10.1007/s11837-018-2953-6.
Nakano, Jinichiro. Advanced Real-Time Optical Imaging: Part I. United States. https://doi.org/10.1007/s11837-018-2953-6
Nakano, Jinichiro. Fri .
"Advanced Real-Time Optical Imaging: Part I". United States. https://doi.org/10.1007/s11837-018-2953-6. https://www.osti.gov/servlets/purl/1478366.
@article{osti_1478366,
title = {Advanced Real-Time Optical Imaging: Part I},
author = {Nakano, Jinichiro},
abstractNote = {Materials research is significantly assisted by information gathered from imaging. Images may be macroscopic or microscopic; different imaging techniques ranging from conventional microscopes to synchrotron tomography are selected for various research purposes and goals. While most materials imaging is performed in static environments at room temperature because of its appropriateness (or due to device limitations), simple optical imaging may transform into a powerful tool if it is dynamically captured during materials treatments, processing, or physical/chemical exposures. Real-time observations this way provide researchers with vital information on materials behaviors under controlled but various conditions. In the field of energy materials, it is not uncommon to require materials studies under high-temperature, high-pressure, and/or corrosive conditions. In gasifiers, for example, investigations of sensor alloy degradation, slag-refractory reactions, and coal agglomeration require samples to undergo severe environments where direct imaging would be difficult using conventional experimental methods. Finally, while post mortem analysis often provides critical information, interpretation may sometimes be complicated without confirming such occurrences under those conditions.},
doi = {10.1007/s11837-018-2953-6},
journal = {JOM. Journal of the Minerals, Metals & Materials Society},
number = 7,
volume = 70,
place = {United States},
year = {Fri Jun 01 00:00:00 EDT 2018},
month = {Fri Jun 01 00:00:00 EDT 2018}
}
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