1992
DOI: 10.1016/0039-6028(92)91055-g
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Some aspects of atom-probe analysis of FeC and FeN systems

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Cited by 128 publications
(71 citation statements)
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“…The measured concentrations of substitutional elements are in good agreement with the expected ones, although, N concentration is much lower. The reason of this underestimation might be potential evaporation of molecular N 2 ions [19] or overlapping with Fe main peak, as mentioned above.…”
Section: Resultsmentioning
confidence: 93%
See 1 more Smart Citation
“…The measured concentrations of substitutional elements are in good agreement with the expected ones, although, N concentration is much lower. The reason of this underestimation might be potential evaporation of molecular N 2 ions [19] or overlapping with Fe main peak, as mentioned above.…”
Section: Resultsmentioning
confidence: 93%
“…The Si content has been estimated from isotopic abundance of minor Si isotope at 14.5 Da [18]. In addition, N potentially evaporates as 14 N þ 2 and 14 N 2 þ 2 and overlaps with the 56 Fe 2 þ and 14 N þ 2 peaks, respectively [19]. This results in an underestimation of the actual nitrogen concentration.…”
Section: Methodsmentioning
confidence: 99%
“…Peaks in the mass spectrum were assigned as follows: Fe +++ (18.7 Da), Fe ++ (27, 28, 28.5 (32,33 Da). For the sake of simplicity, the N 2 + peaks at 28 and 29 Da [26] are ignored. When the specimen contains both Cr and V, the peak at 33 Da was assigned to CrN ++ .…”
Section: B Microstructure Characterizationmentioning
confidence: 99%
“…Previous atom probe studies of martensite decomposition have used atom probe field ion microscopes, which have a severe limitation on the volume of material analyzed. [9][10][11][12][13][14][15][16][17] Development in recent years of the latest generation of atom probes, namely, the local electrode atom probe, now allows for much faster data gathering from much larger volumes than was possible 5 to 7 years ago. [18,19] This development results in the direct determination of chemical composition, shape, and distribution of fine microstructural features present in the material, even in low densities, such as nanoscale precipitates, clusters, and other solute segregations.…”
mentioning
confidence: 99%