AC Loss Computation in Large-Scale Low-Temperature Superconducting Magnets: Multi-Scale and Semi-Analytical Procedures

In this article, we introduce two complementary approaches for the prediction of ac losses in large-scale low- temperature superconducting (LTS) magnets subjected to slow ramp rates. These methods account for the temperature rise within the LTS coil and its impact on ac losses. The first approach is...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE transactions on applied superconductivity Ročník 35; číslo 2; s. 1 - 19
Hlavní autoři: Denis, Louis, Nuttens, Vincent, Vanderheyden, Benoît, Geuzaine, Christophe
Médium: Journal Article
Jazyk:angličtina
Vydáno: Institute of Electrical and Electronics Engineers Inc 01.03.2025
Témata:
ISSN:1051-8223
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:In this article, we introduce two complementary approaches for the prediction of ac losses in large-scale low- temperature superconducting (LTS) magnets subjected to slow ramp rates. These methods account for the temperature rise within the LTS coil and its impact on ac losses. The first approach is multiscale and relies on the coupling between a macroscopic ho- mogenized model of the LTS coil and a mesoscopic model of a single filament for loss prediction. The second approach is semianalytical and is based on analytical approximations for the hysteresis losses, which are validated against the single filament model. The second approach offers a faster computation suitable for initial design considerations, while the multiscale method is shown to take into account more complex phenomena for the ac loss evaluation at the filament scale. We apply both methods to the prediction of ac losses generated in the LTS coil inside the IBA S2C2 synchrocyclotron during its ramp-up procedure. Additionally, we discuss the conver- gence properties of the multiscale approach and demonstrate the good agreement between the numerical results and experimental data.
Bibliografie:scopus-id:2-s2.0-86000375390
ISSN:1051-8223
DOI:10.1109/TASC.2024.3508270