Breeding blanket design of demo fusion reactors

Tritium, which serves as fuel in DEMO-type nuclear fusion reactors, is known to occur in trace amounts in nature. The aim of this study is to investigate the tritium production rate in the breeding blanket of DEMO-type fusion reactors, using the Serpent-2 Monte Carlo code, and to design the blanket enhancing this rate. For this purpose, production data for DEMO fusion reactor were obtained through simulation data from ENEA and EUROfusion. This data was then used as input for further simulations in the study. For the three-dimensional design of the reactor, Paramak 0.8.8 CAD (Computer-Aided Design) software, written in Python and used for fusion reactor design, was employed to design the DEMO reactor. The designed fusion reactor was subsequently transferred to Serpent-2, and it was confirmed that the same values were obtained through simulations using ENEA data. Subsequently, to achieve different tritium production rates, modifications were made to the breeding blanket structure in the input data. The resulting new tritium production rates were recorded. The recorded data and new breeding blanket configurations were processed using machine learning to increase the tritium production rate. As a result, new blanket designs were developed to surpass the baseline value of 1.15 set by EUROfusion for higher tritium production rates.