Particle swarm optimization of divertor targets for heat load control

Fuente: arXiv
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Main Author: Frerichs, H.
Format: Preprint
Published: 2025
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author Frerichs, H.
author_facet Frerichs, H.
contents Divertor targets in magnetic confinement fusion devices must be designed to handle extreme heat loads. Fast approximation of heat loads with FLARE based on field line reconstruction from an unstructured flux tube mesh is utilized in particle swarm optimization (PSO) of the divertor target geometry. Optimization of the outer divertor target in ITER is evaluated with a constraint for the head loads onto baffles. The optimal configuration is found to depend on assumptions for the background plasma in the heat load proxy simulation.
format Preprint
id arxiv_https___arxiv_org_abs_2509_00206
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Particle swarm optimization of divertor targets for heat load control
Frerichs, H.
Computational Physics
Plasma Physics
Divertor targets in magnetic confinement fusion devices must be designed to handle extreme heat loads. Fast approximation of heat loads with FLARE based on field line reconstruction from an unstructured flux tube mesh is utilized in particle swarm optimization (PSO) of the divertor target geometry. Optimization of the outer divertor target in ITER is evaluated with a constraint for the head loads onto baffles. The optimal configuration is found to depend on assumptions for the background plasma in the heat load proxy simulation.
title Particle swarm optimization of divertor targets for heat load control
topic Computational Physics
Plasma Physics
url https://arxiv.org/abs/2509.00206