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Analytical computation of magnetic field in coil-dominated superconducting quadrupole magnets based on racetrack coils

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Nuclear Science and Techniques 2024年第4期35卷 119-135页

作者： Chuang Shen Ying-Shun Zhu Fu-San Chen China Spallation Neutron Source Institute of High Energy PhysicsChinese Academy of Sciences1 Zhongziyuan RoadDongguan 523000China Institute of High Energy Physics Chinese Academy of Sciences19B Yuquan RoadBeijing 100049China University of Chinese Academy of Sciences Beijing 100049China

Currently,three types of superconducting quadrupole magnets are used in particle accelerators:cos 2θ,CCT,and ***,all three coil configurations have complex spatial geometries,which make magnet manufacturing and strain-sensitive superconductor applications *** with the three existing quadrupole coils,the racetrack quadrupole coil has a simple shape and manufacturing process,but there have been few theoretical *** this paper,the two-dimensional and three-dimensional analytical expressions for the magnetic field in coil-dominated racetrack superconducting quadrupole magnets are *** analytical expressions of the field harmonics and gradient are fully resolved and depend only on the geometric parameters of the coil and current ***,a genetic algorithm is applied to obtain a solution for the coil geometry parameters with field harmonics on the order of 10^(-4).Finally,considering the practical engineering needs of the accelerator interaction region,electromagnetic design examples of racetrack quadrupole magnets with high gradients,large apertures,and small apertures are described,and the application prospects of racetrack quadrupole coils are analyzed.

关键词： Superconducting quadrupole magnet Racetrack coil multipole field Genetic algorithm Magnetic design

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Application　of　Artificial　Neural　Network　in　Designing　Deflection　Coil

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Journal of Systems Engineering and Electronics 1998年第3期9卷 44-51页

作者： Tu Yan(Electronic Engineering Department of Southeast University, Nanjing 210018, P. R. China) Electronic Engineering Department of Southeast University Nanjing 210018 P. R. China

In the design of deflection coil, we have to determine those values of descriptive parameters of the deflection coil that will give us a required performance. In this paper, an artificial neural network is used in the design of deflection coil. It is shown that the artificial neural network is indeed possible to develop well-trained networks for designing a particular deflection coil.

关键词： Artificial neural network Deflection coil multipole field

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