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Title: Subsurface imaging of grain microstructure using picosecond ultrasonics

Abstract

We report on imaging subsurface grain microstructure using picosecond ultrasonics. This approach relies on elastic anisotropy of crystalline materials where ultrasonic velocity depends on propagation direction relative to the crystal axes. Picosecond duration ultrasonic pulses are generated and detected using ultrashort light pulses. In materials that are transparent or semitransparent to the probe wavelength, the probe monitors GHz Brillouin oscillations. The frequency of these oscillations is related to the ultrasonic velocity and the optical index of refraction. Ultrasonic waves propagating across a grain boundary experience a change in velocity due to a change in crystallographic orientation relative to the ultrasonic propagation direction. This change in velocity is manifested as a change in the Brillouin oscillation frequency. Using the ultrasonic propagation velocity, the depth of the interface can be determined from the location in time of the transition in oscillation frequency. An image of the grain boundary is obtained by scanning the beam along the surface. We demonstrate this volumetric imaging capability using a polycrystalline UO2 sample. As a result, cross section liftout analysis of the grain boundaries using electron microscopy were used to verify our imaging results.

Authors:
ORCiD logo [1];  [2];  [3];  [4];  [4];  [5]; ORCiD logo [6];  [7];  [3]
  1. The Ohio State Univ., Columbus, OH (United States)
  2. Belgian Nuclear Research Center (SCK-CEN), Mol (Belgium)
  3. Idaho National Lab. (INL), Idaho Falls, ID (United States)
  4. Univ. of Florida, Gainesville, FL (United States)
  5. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  6. Boise State Univ., Boise, ID (United States)
  7. Boise State Univ., Boise, ID (United States); Center for Advanced Energy Studies, Idaho Falls, ID (United States)
Publication Date:
Research Org.:
Energy Frontier Research Centers (EFRC) (United States). Center for Materials Science of Nuclear Fuel (CMSNF); Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES); USDOE Office of Nuclear Energy (NE)
OSTI Identifier:
1357248
Alternate Identifier(s):
OSTI ID: 1351004
Report Number(s):
INL/JOU-15-35833
Journal ID: ISSN 1359-6454; PII: S1359645416302609
Grant/Contract Number:  
AC07-05ID14517; FWP 1356; AC07-051D14517
Resource Type:
Accepted Manuscript
Journal Name:
Acta Materialia
Additional Journal Information:
Journal Volume: 112; Journal Issue: C; Journal ID: ISSN 1359-6454
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY; grain boundary; nuclear fuel; picosecond ultrasonics; uranium oxide; grain orientation; boundary characterization

Citation Formats

Khafizov, M., Pakarinen, J., He, L., Henderson, H. B., Manuel, M. V., Nelson, A. T., Jaques, B. J., Butt, D. P., and Hurley, David H. Subsurface imaging of grain microstructure using picosecond ultrasonics. United States: N. p., 2016. Web. https://doi.org/10.1016/j.actamat.2016.04.003.
Khafizov, M., Pakarinen, J., He, L., Henderson, H. B., Manuel, M. V., Nelson, A. T., Jaques, B. J., Butt, D. P., & Hurley, David H. Subsurface imaging of grain microstructure using picosecond ultrasonics. United States. https://doi.org/10.1016/j.actamat.2016.04.003
Khafizov, M., Pakarinen, J., He, L., Henderson, H. B., Manuel, M. V., Nelson, A. T., Jaques, B. J., Butt, D. P., and Hurley, David H. Thu . "Subsurface imaging of grain microstructure using picosecond ultrasonics". United States. https://doi.org/10.1016/j.actamat.2016.04.003. https://www.osti.gov/servlets/purl/1357248.
@article{osti_1357248,
title = {Subsurface imaging of grain microstructure using picosecond ultrasonics},
author = {Khafizov, M. and Pakarinen, J. and He, L. and Henderson, H. B. and Manuel, M. V. and Nelson, A. T. and Jaques, B. J. and Butt, D. P. and Hurley, David H.},
abstractNote = {We report on imaging subsurface grain microstructure using picosecond ultrasonics. This approach relies on elastic anisotropy of crystalline materials where ultrasonic velocity depends on propagation direction relative to the crystal axes. Picosecond duration ultrasonic pulses are generated and detected using ultrashort light pulses. In materials that are transparent or semitransparent to the probe wavelength, the probe monitors GHz Brillouin oscillations. The frequency of these oscillations is related to the ultrasonic velocity and the optical index of refraction. Ultrasonic waves propagating across a grain boundary experience a change in velocity due to a change in crystallographic orientation relative to the ultrasonic propagation direction. This change in velocity is manifested as a change in the Brillouin oscillation frequency. Using the ultrasonic propagation velocity, the depth of the interface can be determined from the location in time of the transition in oscillation frequency. An image of the grain boundary is obtained by scanning the beam along the surface. We demonstrate this volumetric imaging capability using a polycrystalline UO2 sample. As a result, cross section liftout analysis of the grain boundaries using electron microscopy were used to verify our imaging results.},
doi = {10.1016/j.actamat.2016.04.003},
journal = {Acta Materialia},
number = C,
volume = 112,
place = {United States},
year = {2016},
month = {4}
}

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