1–6 Jul 2025
Omni Boston Hotel at the Seaport
US/Eastern timezone

Wed-Af-Po.08-07: [Invited] Distributed deformation monitoring of canted cosθ dipole high-temperature superconducting magnet using fiber optic

2 Jul 2025, 14:30
2h
Ensemble Ballroom, Level 2

Ensemble Ballroom, Level 2

Speaker

Linqing Luo (Lawrence Berkeley National Laboratory)

Description

High-temperature superconductors (e.g., REBCO) are key to developing high-field magnets for next-generation high-energy circular colliders and compact fusion reactors. The U.S. Magnet Development Program, in collaboration with industry, is advancing REBCO magnet technology through multi-tape CORC® wires. Conventional sensors (strain gauges and voltage taps) are becoming insufficient to provide the full strain distribution or precise localization of resistive transitions, limiting insights into the magnet performance. This work implements single-mode optical fibers for distributed fiber optic sensing (DFOS), enabling continuous strain measurements along a six-layer, 40-turn canted cosθ dipole magnet using high-temperature superconducting CORC® wires. Tests conducted at 77 K and 4.2 K, on both individual layers and the assembled coil, revealed coil deformation under mechanical and thermal loads, along with potential resistive transition locations. The optical fiber layout and installation were optimized to cover sensing distances of up to 45 m at cryogenic temperatures. The result demonstrates the feasibility of DFOS for detecting strain distributions along the coil during operation. The result also shows hysteresis behaviors and a linear correlation between Lorentz force and strain, allowing identification of resistive transition sites. This approach offers a practical method for monitoring larger magnet systems and may facilitate early detection of thermal runaway in high-temperature superconducting magnets.

Authors

Linqing Luo (Lawrence Berkeley National Laboratory) Paolo Ferracin (Lawrence Berkeley National Laboratory) Hugh Higley (Lawrence Berkeley National Laboratory) Maxim Marchevsky (Lawrence Berkeley National Laboratory) Soren Prestemon (Lawrence Berkeley National Laboratory) Jose Luis Rudeiros Fernandez (Lawrence Berkeley National Laboratory) Reed Teyber (Lawrence Berkeley National Laboratory) Marcos Turqueti (Lawrence Berkeley National Laboratory) Giorgio Vallone (Lawrence Berkeley National Lab. (US)) Xiaorong Wang (Lawrence Berkeley National Laboratory) Dr Yuxin Wu (Lawrence Berkeley National Laboratory)

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