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Optimal Design of Vibration and Noise for Medium-High Frequency Transformer Core Based on Genetic Algorithm

  • Yongjian Li,
  • Zitong Yang,
  • Peng Guo

摘要

Transformers’ vibration and noise problems are critical to environmental comfort and reliability of equipment. To reduce the vibration and noise of transformers, the vibration and noise of medium and medium-high transformer cores under Maxwell force and magnetostriction were analyzed. A three-dimensional magneto-mechanical-acoustic coupled finite element model was established under sinusoidal and rectangular wave excitation. The deformation, vibration acceleration, and sound pressure distribution were analyzed under the Maxwell force and the magnetostrictive force of medium and medium-high transformers. A vibration noise optimization design architecture for medium and medium-high frequency transformers has been proposed. A transformer core structure with low noise vibration is designed based on the proposed optimization design architecture. The experimental results show that under the sinusoidal excitation, the vibration acceleration in the lamination direction decreases the most, from 18.748 m/s2 before optimization to 4.89 m/s2 and under rectangular wave excitation, it decreases from 51.08 m/s2 before optimization to 13.182 m/s2. The proposed method provides a reference for the optimization design of low noise vibration transformers.