Optimizing Design of Multi-coil Solenoid HTS Magnet by PSO Algorithm

The superconducting magnet has been used more and more widely due to the advances in refrigeration technology and superconducting material. Consequently, its design requirements become higher. This paper combines particle swarm optimization (PSO) and numerical calculation using finite-element (FE) for the rapidly-optimized design of multi-coil solenoid high-temperature-superconducting (HTS) magnet which must satisfy the need of electromagnetism. On this basis, the length of the material used will be minimized. With the optimum design of a magnetic fluid propeller as an example, the second-generation HTS material is selected for developing a superconducting magnet prototype, which is not lower than 6T in central magnetic field strength, not less than 340*100mm
²
in its uniform region and not less than 100mm in diameter.