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- W2759695087 abstract "A novel limit design method for superconducting magnets is presented. It is particularly suitable for ion core magnets such as those used in accelerator magnets. In general, a stochastic optimization whose objective functions consist of values, e.g., the magnetic field, experience field of superconducting coils, current density, and multipole field integral, is often used. However, it is well known that the obtained solution strongly depends on the initial one. Furthermore, once the calculation model is fixed, the range of solutions is also fixed, i.e., there are times when it may be impossible to find the global optimum solution even with a lot of parameter sweeps. In this study, we draw the Pareto front curve to obtain the range and infer whether the solution is an optimum one. In addition, the Pareto front curve indicates the neighborhood solution that is substituted for the initial one. After this process a stochastic optimization is implemented with its initial design parameters. To confirm the validity, we designed a superconducting bending magnet, and it showed that this method works well." @default.
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- W2759695087 date "2017-09-01" @default.
- W2759695087 modified "2023-09-25" @default.
- W2759695087 title "Design Optimization for Superconducting Bending Magnets using Pareto Front Curve" @default.
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- W2759695087 doi "https://doi.org/10.1088/1742-6596/897/1/012023" @default.
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