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A length-corrected thermal thin shell approximation (TSA) for modeling conduction cooling in superconducting accelerator magnets achieves up to a 5x computational speed-up with only a 2-4% deviation in accuracy compared to explicitly meshed models. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

May 1, 2026Cryogenics0 citationsOpen Access

Modelling conduction cooling of superconducting accelerator magnets using a thermal thin shell approximation

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EVEmma Vancayseele ESErik Schnaubelt LDLouis Denis

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Abstract

• Modelling of turn, collar and pole interfaces using thin shell approximation in FiQuS. • A length correction of the TSA is necessary to improve its equivalency and accuracy. • TSA offers up to a 5x speed-up with 2–4% accuracy versus explicitly meshed models. • The model enables the evaluation of conduction cooling strategies.

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Vancayseele et al. (2026) studied this question.

synapsesocial.com/papers/6a1dd3055c054b78c2ef6d64 https://doi.org/10.1016/j.cryogenics.2026.104393

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May 1, 2026Cryogenics0 citationsOpen Access

Modelling conduction cooling of superconducting accelerator magnets using a thermal thin shell approximation

View Full Paper

EVEmma Vancayseele ESErik Schnaubelt LDLouis Denis

Key Points

Key points are not available for this paper at this time.

Abstract

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View Full Paper

Cite This Study

Vancayseele et al. (2026) studied this question.

synapsesocial.com/papers/6a1dd3055c054b78c2ef6d64 https://doi.org/10.1016/j.cryogenics.2026.104393

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