Optimization Design of High-Performance Hybrid Superconducting ECR Ion Source Magnet System Based on Particle Swarm Algorithm

The development of 18 GHz hybrid superconducting ECR ion sources is constrained by the complex trade-off in magnet system design, where achieving simultaneous excellence in field strength, confinement stability, and resonant coupling remains a formidable challenge. A design automation framework that tightly integrates Particle Swarm Optimization (PSO) with COMSOL-based finite element analysis is presented. This synergy enables the global optimization of the permanent magnet hexapole and the superconducting solenoids’ currents as an interconnected system. The optimizer delivers a magnetic field configuration that simultaneously achieves a 2.6 T axial peak, a 4.25 mirror ratio, and a precise minimum-B field of 0.6 T. This synergy creates a stable magnetic cage perfectly resonant at 18 GHz, ensuring superior plasma confinement and efficient microwave-to-plasma energy transfer. This study validates the PSO algorithm as a powerful tool for transcending conventional design paradigms in complex electromagnetic systems. The resulting magnet solution not only meets the stringent demands of next-generation ECR ion sources but also provides a transferable blueprint for optimizing a broad class of symmetric devices governed by multi-physics constraints.

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Publication Details

Journal
Symmetry
Published
2026-01-03
DOI
https://doi.org/10.3390/sym18010082
Primary Topic
Particle accelerators and beam dynamics
Type
article
Field-Weighted Citation Impact
0.00

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Optimization Design of High-Performance Hybrid Superconducting ECR Ion Source Magnet System Based on Particle Swarm Algorithm

Y. Liu, H. Wang, Lei Liu, Manman Xu et al.
Symmetry
Particle accelerators and beam dynamics
article

Optimization Design of High-Performance Hybrid Superconducting ECR Ion Source Magnet System Based on Particle Swarm Algorithm

Y. Liu, H. Wang, Lei Liu, Manman Xu, Yimin Lu
article en

Abstract

The development of 18 GHz hybrid superconducting ECR ion sources is constrained by the complex trade-off in magnet system design, where achieving simultaneous excellence in field strength, confinement stability, and resonant coupling remains a formidable challenge. A design automation framework that tightly integrates Particle Swarm Optimization (PSO) with COMSOL-based finite element analysis is presented. This synergy enables the global optimization of the permanent magnet hexapole and the superconducting solenoids’ currents as an interconnected system. The optimizer delivers a magnetic field configuration that simultaneously achieves a 2.6 T axial peak, a 4.25 mirror ratio, and a precise minimum-B field of 0.6 T. This synergy creates a stable magnetic cage perfectly resonant at 18 GHz, ensuring superior plasma confinement and efficient microwave-to-plasma energy transfer. This study validates the PSO algorithm as a powerful tool for transcending conventional design paradigms in complex electromagnetic systems. The resulting magnet solution not only meets the stringent demands of next-generation ECR ion sources but also provides a transferable blueprint for optimizing a broad class of symmetric devices governed by multi-physics constraints.

SymmetryVol. 18(1)
Anhui University of Science and Technology (CN), Wuhu Institute of Technology (CN), Anhui Polytechnic University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 98%
Particle accelerators and beam dynamics
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