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arXiv 2203.07352physics.acc-ph
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低成本、高性能、高工作点(12-14 T)的Nb_3Sn加速器磁体新一代技术的开发和示范

Development and demonstration of next generation technology for Nb_3Sn accelerator magnets with lower cost, improved performance uniformity, and higher operating point in the 12-14 T range

Giorgio Ambrosio, Giorgio Apollinari, Vito Lombardo, Stoyan Stoynev, Mauricio Suarez, George Velev, Paolo Ferracin, Soren Prestemon, GianLuca Sabbi, Kathleen Amm

摘要:

本白皮书中概述的建议范围是开发和演示下一代12-14 T范围内的Nb_3Sn加速器磁体所需的技术。其主要目标是使磁体冷质量成本比美国加速器升级项目(AUP)为HL-LHC生产的Nb_3Sn磁体降低2倍或更高。这一目标将通过显著减少劳动时间、提高工作点和改善性能均匀性来实现。一个关键因素将是自动化,这将通过行业参与实现,并受益于美国国家实验室通过生产AUP磁体获得的经验。这种合作关系将使技术的发展,将很容易转移到工业中的中型和大型生产的Nb_3Sn加速器磁铁在12-14 T的范围。这一步对于实现下一代对撞机,如FNAL提出的μ子对撞机,FCC和其他HEP强子对撞机至关重要。这是一个定向研发,方向是由高自动化和工业就绪技术的领域范围和行业参与给出的。该计划包括10个里程碑,将在6-8年内实现,费用为5-7百万美元/年。

英文摘要:

The scope of the proposal outlined in this white paper is the development and demonstration of the technology needed for next generation of Nb_3Sn accelerator magnets in the 12-14 T range. The main goal is to cut magnet cold-mass cost by a factor 2 or higher with respect to the Nb_3Sn magnets produced by the US Accelerator Upgrade Project (AUP) for the High-Luminosity Large Hadron Collider (HL-LHC). This goal will be achieved by significant reduction of labor hours, higher operating point, and improved performance uniformity. A key factor will be automation that will be achieved through industry involvement and benefitting from the experience gained in US national laboratories through the production of the AUP magnets. This partnership will enable the development of a technology that will be easily transferable to industry for mid- and large-scale production of Nb_3Sn accelerator magnets in the 12-14 T range. This step is essential to enable next generation of colliders such as the FNAL-proposed Muon Collider, FCC and other HEP hadron colliders. This is a Directed R&D where direction is given by the field range and industry involvement for high-automation and industry-ready technology. The plan includes ten milestones, to be achieved in 6-8 years at the cost of 5-7 $M/year.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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