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.

The wall material of a tokamak is exposed to high radiation for a significant amount of time. Therefore, the most difficult problem in ensuring the safe operation of nuclear reactors is the design of a wall material that is conducive to the online monitoring of corrosion degree. In this study, we design an online detection system using isotope tracer technology to calibrate the corrosion degree of a tokamak wall material. Obtaining a sample with a gradient isotope is key for calibration systems. Therefore, we simulate the isotope behavior during ion implantation such that the appropriate injection parameters can be selected to obtain wall-material samples with a concentration gradient, thereby providing a theoretical basis for the corrosion degree calibration of wall materials.