在真实尺寸的多丝超导线圈上进行火过程的整体数值模拟
Cun Xue1, Han-Xi Ren2, Peng Jia3
1School of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical University, 710072, Xi'an, China. xuecun@nwpu.edu.cn.
Nature communications
|December 1, 2024
概括
一个新的GPU优化算法模拟了超导线圈中的热磁不稳定. 流跃速度与累积的朱尔加热相关,而不仅仅是即时功率,帮助磁铁设计.
科学领域:
- 材料科学 材料科学 材料科学
- 物理 物理学 物理
- 工程 工程师 工程师 工程师
背景情况:
- 超导体对于高场磁铁至关重要,但容易受到热磁不稳定的影响.
- 在高临界电流 (高Jc) 的-锡 (Nb3Sn) 电线中,流量跳跃会造成不可逆转的损坏.
研究的目的:
- 开发和验证GPU优化的算法,用于模拟超导线圈中的热磁不稳定性.
- 为了研究电磁,加热和应变在超导线圈火过程中的相互作用.
主要方法:
- 开发了一个大规模的,GPU优化的数值算法.
- 通过使用Nb3Sn线的磁化测量和在电磁线圈上的实验测试来验证模型.
- 分析了流量跳跃和灭的动态传播机制.
主要成果:
- 该算法准确地模拟了热磁不稳定性,包括流量跳跃和火.
- 流量跳跃和灭的速度与随着时间的推移累积的焦尔加热有关.
- 即时焦耳加热功率或最大温度不是传播速度的唯一决定因素.
结论:
- 开发的算法为热磁不稳定性动态提供了洞察力.
- 研究结果表明,累积的朱尔加热是流量跳跃和灭传播的关键因素.
- 可以实现下一代超导磁体的优化设计,影响各种应用.
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