The qualitative f‐ratio method applied to electron channelling‐induced x‐ray imaging with an annular silicon drift detector in a scanning electron microscope in the transmission mode

Author:

BRODUSCH NICOLAS1,GAUVIN RAYNALD1

Affiliation:

1. Department of Mining and Materials Engineering McGill University Montréal Québec Canada

Abstract

SummaryElectron channelling is known to affect the x‐ray production when an accelerated electron beam is applied to a crystalline material and is highly dependent on the local crystal orientation. This effect, unless very long counting time are used, is barely noticeable on x‐ray energy spectra recorded with conventional silicon drift detectors (SDD) located at a small elevation angle. However, the very high count rates provided by the new commercially available annular SDDs permit now to observe this effect routinely and may, in some circumstances, hide the true elemental x‐ray variations due to the local true specimen composition. To circumvent this issue, the recently developed f‐ratio method was applied to display qualitatively the true net intensity x‐ray variations in a thin specimen of a Ti‐6Al‐4V alloy in a scanning electron microscope in transmission mode. The diffraction contrast observed in the x‐ray images was successfully cancelled through the use of f‐ratios and the true composition variations at the grain boundaries could be observed in relation to the dislocation alignment prior to the β‐phase nucleation. The qualitative effectiveness in removing channelling effects demonstrated in this work makes the f‐ratio, in its quantitative form, a possible alternative to the ZAF method in channelling conditions.

Publisher

Wiley

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. libMCXray: A Monte Carlo Simulator for Signal Analysis inside Dragonfly Software;Microscopy Today;2020-09

2. X-Ray Imaging with a Silicon Drift Detector Energy Dispersive Spectrometer;SpringerBriefs in Applied Sciences and Technology;2017-09-28

3. Electron Diffraction Techniques in the SEM;SpringerBriefs in Applied Sciences and Technology;2017-09-28

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