Structural investigation of RBMK nuclear graphite modified by 12C+ ion implantation and thermal treatment

Lagzdina, Elena; Lingis, Danielius; Plukis, A.; Plukienė, R.; Gaspariūnas, Mindaugas; Matulaitienė, Ieva; Kovalevskij, Vitalij; Niaura, Gediminas; Remeikis, Vidmantas

doi:10.1016/j.nimb.2019.01.049

Cited by 11 publications

(1 citation statement)

References 32 publications

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“…In recent years, carbon ion implantation has attracted the broadest attention in many fields [7][8][9][10][11][12][13][14][15][16][17]. Isotope detection techniques are becoming more mature, and include Thermal Desorption Spectrum (TDS), Nuclear Reaction Analysis (NRA), Secondary Ion Mass Spectroscopy (SIMS), x-ray Photoclectron Spectroscopy (XPS), Auger electron Spectroscopy, Rutherford backscattering Spectroscopy, and so forth.…”

Section: Introductionmentioning

confidence: 99%

Simulation of wall materials with isotope concentration gradient for corrosion degree calibration in ITER

Chen

Shuai

et al. 2022

Mater. Res. Express

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In the ITER reactor, the degree of corrosion of the wall is monitored by detecting the change of the concentration of the isotope injected into the wall to ensure safe operation. Therefore, a wall material with an isotope concentration gradient that can be easily monitored must be developed. In this study, we adopted TRIM, Monte Carlo (M-C), and N (X) to predict the concentration distribution of isotopes injected into wall materials. The concentration peak and depth range of the isotope concentration distribution curve calculated by the TRIM program were very different, and the deviation was as high as 2.70%. Combined with the Monte Carlo (M-C) calculation method and the modified longitudinal static stability theory (LSS), the simulated isotope concentration distribution curve was in good agreement with the actual detection curve. However, the result was discontinuous, so the deviation could not be calculated. The N (X) simulation calculation exhibited a high degree of agreement, and the deviation was only 0.67%, so it may be considered suitable for the simulation of the concentration distribution of ion implantation in wall materials under various conditions.

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