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Study of Quench Behavior of No-Insulation REBCO Pancake Considering Complex Critical Current Density Distribution

电磁线圈 磁铁 机械 材料科学 电流(流体) MATLAB语言 超导磁体 有限元法 磁场 计算机模拟 电流密度 物理 机械工程 计算机科学 热力学 工程类 量子力学 操作系统
作者
Quanyue Liu,Sangjin Lee,Jaehwan Lee,Jeongmin Mun,Junil Kim,Seokho Kim
出处
期刊:IEEE Transactions on Applied Superconductivity [IEEE Council on Superconductivity]
卷期号:32 (6): 1-5 被引量:2
标识
DOI:10.1109/tasc.2022.3149456
摘要

This study analyzes the quench behavior of No-insulation (NI) REBCO pancake. An quench analysis simulation model considering the complex critical current density distribution was developed and validated experimentally. The developed model includes an equivalent circuit model, a thermal model, a magnetic model, and a magnet critical current estimation model. The simulation model is based on a co-simulation using MATLAB and COMSOL, considering the balance of accuracy and computation time. The lumped parameter of the NI magnet was used to solve the governing equations of the equivalent circuit module and thermal module in MATLAB. To accurately calculate the non-uniform electromagnetic field distribution over the coil, a magnetic finite element method was used in COMSOL. A neural network was used to predict the temperature-field-angle dependent magnet critical current. Considering the numerical convergence at different over-current phases, adaptive simulation was used to reduce the total simulation time. The quench behavior was analyzed using the proposed model, and the results were verified experimentally. The simulation results showed that when the azimuthal current is greater than the magnet critical current, it will gradually saturate and approach the magnet critical current, and then decrease at a similar speed. The rate of decrease is equal to the rate of decrease of the magnet critical current. Through the analyses, the corresponding sudden-discharging behavior was simulated and analyzed. The proposed model can be used to perform the post-quench and sudden discharging analyses of pancake coil and has promising applications in multi-pancake post-quench studies.

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