Vibration Reduction of Reactor Using Global Magneto-Structural Topology Optimization

The global topology optimization algorithms used in vibration reduction of gapped-iron reactors will achieve the optimal performance under certain constraints, but with a long computational time and poor convergence. To shorten the calculation time, a global magneto-structural topology optimization algorithm (GMS) is proposed, in which the magnetic topology optimization result is used as the initial seed of the structural topology optimization. Firstly, the air gaps areas are set as the optimized area due to the large vibration in this area. And the relative permeability and the young's modulus of the reactor core material in the optimized area are presented as the interpolation function of the defined material density. Secondly, combined with the finite element method (FEM), the gapped-iron core reactor model is optimized, in which the parameters are obtained by measuring the magnetic properties of silicon steel. And the threshold function is presented to eliminate the intermediate density and improve the optimal material boundary. Finally, the stress and vibration displacement curves of the reactor before and after the optimization are calculated. The vibration displacement of the reactor with the optimal topology is reduced by 31% and the number of iterations is reduced by 6 times.