journal article·2014-04-13

Quantitative ion beam analysis of M–C–O systems: application to an oxidized uranium carbide sample

G. Martin, G. Raveu, P. Garcia, G. Carlot, H. Khodja, I. Vickridge, M.F. Barthe, T. Sauvage

Philosophical Magazine· Volume 94· Issue 11
Publisher page

Abstract

A large variety of materials contain both carbon and oxygen atoms, in particular oxidized carbides, carbon alloys (as ZrC, UC, steels, etc.), and oxycarbide compounds (SiCO glasses, TiCO, etc.). Here a new ion beam analysis methodology is described which enables quantification of elemental composition and oxygen concentration profile over a few microns. It is based on two procedures. The first, relative to the experimental configuration relies on a specific detection setup which is original in that it enables the separation of the carbon and oxygen NRA signals. The second concerns the data analysis procedure i.e. the method for deriving the elemental composition from the particle energy spectrum. It is a generic algorithm and is here successfully applied to characterize an oxidized uranium carbide sample, developed as a potential fuel for generation IV nuclear reactors. Furthermore, a micro-beam was used to simultaneously determine the local elemental composition and oxygen concentration profiles over the first microns below the sample surface. This method is adapted to the determination of the composition of MCO compounds with a sensitivity on elemental atomic concentrations around 1000 ppm.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Ion-surface interactions and analysis · Nuclear Materials and Properties · Radioactive element chemistry and processing

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (20)

Show source-provided references
1. 10.1111/j.1551-2916.2011.04810.x10.1111/j.1551-2916.2011.04810.x ↗
2. 10.1007/s11661-011-1032-110.1007/s11661-011-1032-1 ↗
3. 10.1016/j.jnucmat.2010.02.01910.1016/j.jnucmat.2010.02.019 ↗
4. 10.1021/ac101247d10.1021/ac101247d ↗
5. 10.1016/j.nimb.2007.05.01810.1016/j.nimb.2007.05.018 ↗
6. 10.1103/PhysRevB.81.01410110.1103/PhysRevB.81.014101 ↗
7. 10.1021/ac50157a02710.1021/ac50157a027 ↗
8. Martin G. · 2009
9. 10.1016/0029-554X(73)90224-310.1016/0029-554X(73)90224-3 ↗
10. M. Mayer,Simnra user’s guide, Tech. Rep. Report IPP 9/113, Max-Planck-Institut für Plasmaphysik, Garching, 1997.
11. Ziegler J.F. · 1985
12. Knoll G.F. · 1980
13. 10.1016/j.nimb.2007.01.28810.1016/j.nimb.2007.01.288 ↗
14. 10.1107/S0365110X5900044510.1107/S0365110X59000445 ↗
15. 10.4028/www.scientific.net/DDF.323-325.25310.4028/www.scientific.net/DDF.323-325.253 ↗
16. 10.1016/j.nimb.2010.06.04410.1016/j.nimb.2010.06.044 ↗
17. 10.1016/j.nimb.2005.06.12810.1016/j.nimb.2005.06.128 ↗
18. 10.1016/0029-5582(63)90839-310.1016/0029-5582(63)90839-3 ↗
19. 10.1016/0029-5582(64)90350-510.1016/0029-5582(64)90350-5 ↗
20. Amsel G. · Ann. Phys. · 1964 · 9 · 29710.1051/anphys/196413090297 ↗