Optimization of Tritium Breeding Ratio in a DT and DD Submersion Tokamak Fusion Reactor
Vikram Goel, Soha Aslam, Sejal Dua

TL;DR
This paper investigates how different materials and neutron energy spectra affect Tritium Breeding Ratio in a Submersion Tokamak fusion reactor, aiming to optimize TBR for sustainable fusion energy production.
Contribution
It introduces a simulation-based analysis of material choices and neutron spectra to enhance TBR in tokamak reactors, combining geometry modeling and neutron transport simulations.
Findings
Material properties significantly influence TBR levels.
Neutron energy spectrum adjustments impact Tritium breeding efficiency.
Optimized configurations can achieve TBR greater than unity.
Abstract
The mass of stars is enough to confine a plasma to fuse light atoms, but this is not possible to engineer on Earth. Fortunately, nuclear engineering can rely on the magnetic confinement of a plasma using superconducting coils so long as the Tritium Breeding Ratio (TBR) is optimized. This paper will investigate some of the materials which can increase the rate at which Tritium is produced within the breeding blanket layer of Submersion Tokamak reactors, a design that uses magnetic confinement of a plasma in the shape of a torus to execute nuclear fusion. Using the Paramak Python module to model several geometries and OpenMC to run a simulation, it can be observed how neutron multipliers, enrichment, and the neutron energy spectrum affect TBR. This experiment will mainly observe different material choices that have been considered and their TBR based on their cross sections, dose rate,…
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Taxonomy
TopicsMagnetic confinement fusion research · Fusion materials and technologies · Particle accelerators and beam dynamics
