TY - JOUR
T1 - TEM in situ Cube-Corner Indentation Analysis Using ViBe Motion Detection Algorithm
AU - Yano, K. H.
AU - Thomas, S.
AU - Swenson, M. J.
AU - Lu, Y.
AU - Wharry, J. P.
N1 - Yano, K.H.; Thomas, S.; Swenson, M.J.; Lu, Y.; and Wharry, J. P. (2018). "TEM in situ Cube-Corner Indentation Analysis Using ViBe Motion Detection Algorithm". Journal of Nuclear Materials, 502, 201-212. https://doi.org/10.1016/j.jnucmat.2018.02.003
PY - 2018/4/15
Y1 - 2018/4/15
N2 - Transmission electron microscopic (TEM) in situ mechanical testing is a promising method for understanding plasticity in shallow ion irradiated layers and other volume-limited materials. One of the simplest TEM in situ experiments is cube-corner indentation of a lamella, but the subsequent analysis and interpretation of the experiment is challenging, especially in engineering materials with complex microstructures. In this work, we: (a) develop MicroViBE, a motion detection and background subtraction-based post-processing approach, and (b) demonstrate the ability of MicroViBe, in combination with post-mortem TEM imaging, to carry out an unbiased qualitative interpretation of TEM indentation videos. We focus this work around a Fe-9%Cr oxide dispersion strengthened (ODS) alloy, irradiated with Fe 2+ ions to 3 dpa at 500 °C. MicroViBe identifies changes in Laue contrast that are induced by the indentation; these changes accumulate throughout the mechanical loading to generate a “heatmap” of features in the original TEM video that change the most during the loading. Dislocation loops with b = ½ <111> identified by post-mortem scanning TEM (STEM) imaging correspond to hotspots on the heatmap, whereas positions of dislocation loops with b = <100> do not correspond to hotspots. Further, MicroViBe enables consistent, objective quantitative approximation of the b = ½ <111> dislocation loop number density.
AB - Transmission electron microscopic (TEM) in situ mechanical testing is a promising method for understanding plasticity in shallow ion irradiated layers and other volume-limited materials. One of the simplest TEM in situ experiments is cube-corner indentation of a lamella, but the subsequent analysis and interpretation of the experiment is challenging, especially in engineering materials with complex microstructures. In this work, we: (a) develop MicroViBE, a motion detection and background subtraction-based post-processing approach, and (b) demonstrate the ability of MicroViBe, in combination with post-mortem TEM imaging, to carry out an unbiased qualitative interpretation of TEM indentation videos. We focus this work around a Fe-9%Cr oxide dispersion strengthened (ODS) alloy, irradiated with Fe 2+ ions to 3 dpa at 500 °C. MicroViBe identifies changes in Laue contrast that are induced by the indentation; these changes accumulate throughout the mechanical loading to generate a “heatmap” of features in the original TEM video that change the most during the loading. Dislocation loops with b = ½ <111> identified by post-mortem scanning TEM (STEM) imaging correspond to hotspots on the heatmap, whereas positions of dislocation loops with b = <100> do not correspond to hotspots. Further, MicroViBe enables consistent, objective quantitative approximation of the b = ½ <111> dislocation loop number density.
KW - TEM
KW - in situ
KW - indentation
KW - ion irradiation
KW - oxide dispersion strengthened
KW - picoindenter
UR - https://scholarworks.boisestate.edu/mse_facpubs/328
UR - https://doi.org/10.1016/j.jnucmat.2018.02.003
M3 - Article
SN - 0022-3115
JO - Journal of Nuclear Materials
JF - Journal of Nuclear Materials
ER -