Study on vibration and noise of magnetic saturated controllable reactor considering magnetostriction effect

Currently, computational analysis of vibration-induced noise in electromagnetic equipment cores predominantly relies on three-dimensional finite element simulation methods. However, this approach frequently encounters challenges when addressing complex nonlinear magnetic characteristics and elastic mechanical problems, including substantial computational scale, protracted solution times, and stringent demands on computer memory resources. Consequently, it struggles to accommodate the rapid iteration and computational requirements inherent in the engineering design. To address this challenge, this paper establishes an electromagnetic–mechanical–acoustic multiphysics coupled numerical model for magnetically saturated controllable reactor cores based on electromagnetic coupling and elastic mechanics principles. Through computational simulations, it obtains key parameters including winding current, core magnetic flux density, vibration displacement, and noise characteristics under various operating conditions. Concurrently, experimental data acquisition is conducted to validate the model's effectiveness by comparing simulation results with experimental measurements. Results demonstrate excellent agreement between measured, simulated, and calculated values for excitation current, core magnetic flux density, vibration displacement, and noise distribution. Furthermore, compared to the three-dimensional finite element model, the proposed model achieves a computational speed improvement of 310–350 times, with storage space requirements reduced to between 1/6800 and 1/7000 of the original model. This significantly enhances efficiency while maintaining computational accuracy. The validity and accuracy of this method have been verified, providing an efficient theoretical basis and computational approach for rapidly calculating the magnitude and distribution of reactor vibration and noise during the design phase, as well as exploring novel noise reduction measures.