Optimization Design of Electromagnetic Stirrer Based on Finite Element Model and NSGA-II Algorithm

In order to improve the flow state of the liquid in the electromagnetic stirrer for aluminum alloy liquid and reduce the volume of the device, the structural parameters of the electromagnetic stirrer for aluminum alloy liquid were optimized by using the finite element model combined with the optimization method of NSGA-II multi-objective genetic algorithm. The relationship between the flow rate of aluminum alloy liquid after optimization and the magnitude and frequency of loading current was simulated and analyzed. The results show that: compared with the original structure, the optimized structure has smaller yoke volume, and can produce more suitable electromagnetic field and flow field distribution. Further studies show that the flow rate of molten aluminum alloy increases linearly with the increase of loading current when the current frequency is constant, and decreases with the increase of current frequency when the current is constant. The research results provide a theoretical basis for determining the optimal operating parameters of the electromagnetic stirrer, and a new method for the optimization design of the electromagnetic stirrer based on the finite element model.