2022/03/16 by M. Marchevsky, Maxim Marchevsky, Marchevsky, Maxim
Engineering · Physics and Astronomy · #Accelerator Physics (physics.acc-ph) #Computer science #Electrical engineering #Engineering #Engineering physics #FOS: Physical sciences #Magnet #Mechanical engineering #Nuclear engineering #Particle Accelerators and Free-Electron Lasers #Particle accelerators and beam dynamics #Physics #Process (computing) #Superconducting Materials and Applications #Superconducting magnet #Training (meteorology) #Transient (computer programming) #physics.acc-ph
paper · pdf · doi:10.48550/arxiv.2203.08871
7 pages, 5 figures - Contribution to Snowmass 2021
arxiv created 2022/03/16 · openalex publication_date 2022/03/16 · arxiv updated 2022/03/18 · openalex created_date 2022/04/03 · openalex updated_date 2026/07/28
Among various long-standing standing problems in superconducting accelerator magnet development, training is one of the oldest and well-known issues affecting magnet performance. Understanding physics behind the training process is crucial for proper mitigation and elimination of this phenomenon in new magnet designs. This paper discusses application of acoustic emission (AE) diagnostics to localization and classification of transient mechanical events in superconducting magnets and characterization of transient energy releases responsible for premature quenching, memory effects and, ultimately, training. Prospective of future AE diagnostics development are outlined in connection to the goals of US Magnet Development Program.