ASSESSING NEUTRON DAMAGE IN FUSION REACTORS: A STUDY OF DISPLACEMENTS PER ATOM
Project by Polygence alum Mir
Project's result
In our simple universe, Tungsten for our wall material resulted in the lowest displacement for all atoms when compared to Eurofer, Beryllium, Silicon Carbide, and Titanium, thus revealing the valuable properties of the element which proved to be a reliable material for containing fusion reactions. This study has acted as an introduction to the extensive research field towards developing a reliable source of fusion energy, constructing a foundation for far more complex research branched out from results and ideas concluded in this paper.
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Summary
Furthering the mission in developing nuclear fusion reactors, the selection of structural materials requires great attention. And in order to create safe, cost-efficient, and reliable fusion power plants, studying material damage on the reactor is crucial. Moreover, ensuring reactor stability amidst fusion reactions heavily depends on component materials, properties of which must allow the reactor to withstand the extreme conditions. Experimenting with various materials for reactor components, this study measures displacement per atom (DPA), attempting to minimize radiation risks to the components inside the reactor. Using OpenMC, an open-source Monte Carlo tool to conduct simulations, the physics models allow us to calculate and better understand radiation limits and lifetime of the nuclear reactor. The neutronics calculations with OpenMC reveal materials’ relative strength under fusion reactions, using DPA values to rank potential choices, alongside their benefits and implications. This will help improve reactor designs and ensure human safety, furthering the critical fight against climate change through developing a clean, efficient, and safe source of energy.
Soha
Polygence mentor
MSE Master of Science in Engineering
Subjects
Physics, Engineering
Expertise
Physics, Robotics, Nuclear Physics Fission/Fusion Energy, Clean Energy, Environmental Science, Nuclear Security, Global Security Questions in Artificial Intelligence/Policy, Nuclear Weapons, Fintech / Finance
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Mir
Student
Graduation Year
2024
Project review
“The aspect of simply learning about both a new topic and research methods exceeded my expectations.”
About my mentor
“Provided me with the assistance and mentorship I needed to study a field I was new to.”
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