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Reconstruction of Laser-Induced Surface Topography from Electron Backscatter Diffraction Patterns.
Callahan, Patrick G; Echlin, McLean P; Pollock, Tresa M; De Graef, Marc.
Afiliación
  • Callahan PG; 1Materials Department,University of California Santa Barbara,Santa Barbara,CA93106-5050USA.
  • Echlin MP; 1Materials Department,University of California Santa Barbara,Santa Barbara,CA93106-5050USA.
  • Pollock TM; 1Materials Department,University of California Santa Barbara,Santa Barbara,CA93106-5050USA.
  • De Graef M; 2Department of Materials Science and Engineering,Carnegie Mellon University,5000 Forbes Avenue,Pittsburgh,PA15213-3890,USA.
Microsc Microanal ; 23(4): 730-740, 2017 08.
Article en En | MEDLINE | ID: mdl-28784197
We demonstrate that the surface topography of a sample can be reconstructed from electron backscatter diffraction (EBSD) patterns collected with a commercial EBSD system. This technique combines the location of the maximum background intensity with a correction from Monte Carlo simulations to determine the local surface normals at each point in an EBSD scan. A surface height map is then reconstructed from the local surface normals. In this study, a Ni sample was machined with a femtosecond laser, which causes the formation of a laser-induced periodic surface structure (LIPSS). The topography of the LIPSS was analyzed using atomic force microscopy (AFM) and reconstructions from EBSD patterns collected at 5 and 20 kV. The LIPSS consisted of a combination of low frequency waviness due to curtaining and high frequency ridges. The morphology of the reconstructed low frequency waviness and high frequency ridges matched the AFM data. The reconstruction technique does not require any modification to existing EBSD systems and so can be particularly useful for measuring topography and its evolution during in situ experiments.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Microsc Microanal Año: 2017 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Microsc Microanal Año: 2017 Tipo del documento: Article