Intelligent Redesign for Thermal Robustness of Electromagnet

In order to solve the failure problem of the electromagnet coil under the thermal load, the analysis and robustness optimization basis of the electromagnet magnetic-thermal coupling system are integrated, and an intelligent redesign model for the thermal robustness of the electromagnet is proposed. This paper takes solenoid electromagnet as the research object, takes the main structural parameters of the coil as the control factor, and takes the random thickness of the wire insulation paint film caused by the uncertainty of the process conditions as the noise factor. Under the restriction of the allowable temperature rise of the electromagnet that does not cause damage to the coil insulation, a multi-factor weighted summation of the electromagnet's thermal robustness intelligent redesign evaluation function is proposed. Through orthogonal experiments, key structural variables that are sensitive to the thermal performance of the system are obtained, combined with robustness optimization, a design scheme with the smallest variation of the system's magnetic and thermal comprehensive performance indicators under the combined disturbance of key structural parameters is obtained. The optimization research results show that the wire diameter as a function factor of the main structural parameters of the coil is the most important factor affecting the performance of the electromagnet and the working temperature rise under the magnetic-thermal coupling. Intelligent redesign improves the thermal robustness of the electromagnet while reducing the surface temperature rise of the electromagnet by 1.54 percent. Compared with the traditional design optimization process, the intelligent redesign method proposed in this paper can be implemented quickly and flexibly under the premise of ensuring the accuracy of electromagnetic calculation power, making it more operability than the finite element method. This method has certain reference value for the customization and rapid and intelligent engineering design of similar electromagnet products.