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Preprint . 2025
License: CC BY
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Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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Computational Optimization Framework for REBCO High-Temperature Superconducting Coil Design with FEA Validation

Authors: Sherrington, Ryan;

Computational Optimization Framework for REBCO High-Temperature Superconducting Coil Design with FEA Validation

Abstract

We present a computational optimization framework for REBCO high-temperature superconducting coils combining electromagnetic-thermal-mechanical modeling validated through COMSOL Multiphysics and FEniCSx finite element analysis. The approach demonstrates systematic scaling from precision baseline configurations (2.1 T, 0.01% ripple) to high-field operation (7.07 T, 0.16% ripple) through multi-objective parameter optimization. Computational results project multi-tape conductor designs achieving 30% current utilization, thermal margins of 74.5 K, and mechanical reinforcement strategies reducing stress from 179 MPa to 35 MPa. Cross-platform FEA validation shows < 1% solver variance for electromagnetic and stress analysis. All results represent computational projections requiring experimental validation.

Related Organizations
Keywords

REBCO, antimatter physics, Electromagnetic–thermal–mechanical, magnetic confinement, Finite Element Analysis, FEniCSx, Superconducting coils, fusion energy, High-temperature superconductors, Monte Carlo analysis, Coil optimization, COMSOL Multiphysics, Helmholtz coils

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green