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

被引:2
|
作者
Liu, Quanyue [1 ]
Lee, Sangjin [2 ]
Lee, Jaehwan [3 ]
Mun, Jeongmin [4 ]
Kim, Junil [5 ]
Kim, Seokho [3 ]
机构
[1] Changwon Natl Univ, Reg Leading Res Ctr, Chang Won 51140, Gyeongsangnam D, South Korea
[2] Uiduk Univ, Dept Elect Engn, Gyeongju 38004, Gyeongsangbuk D, South Korea
[3] Changwon Natl Univ, Dept Smart Mfg Engn, Chang Won 51140, Gyeongsangnam D, South Korea
[4] Changwon Natl Univ, Dept Mech Engn, Chang Won 51140, Gyeongsangnam D, South Korea
[5] Korea Electrotechnol Res Inst, Chang Won 51543, Gyeongsangnam D, South Korea
基金
新加坡国家研究基金会;
关键词
Mathematical models; Integrated circuit modeling; Superconducting magnets; Adaptation models; Analytical models; Saturation magnetization; Resistance; Critical current estimation; electromagnetic-thermal model; no insulation pancake; neural network; post quench behavior;
D O I
10.1109/TASC.2022.3149456
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
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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页数:5
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