双盘式磁力耦合器温度场研究

Research on Temperature Field of Double Disc Magnetic Coupler

针对双盘式磁力耦合器高温工作下易造成永磁体退磁失效的问题,对磁力耦合器永磁体温度场进行研究。建立磁力耦合器永磁体温度场仿真模型,采用有限元分析方法对双盘式磁力耦合器永磁体温度场进行仿真;搭建试验台验证仿真结果的准确性;根据仿真结果,采用遗传算法优化的BP神经网络,对不同气隙和转差组合条件下永磁体工作的最高温度进行预测。比较仿真结果和预测结果,验证GA-BP神经网络预测模型的准确性,为双盘磁力耦合器温度场的研究提供理论参考依据。

Aiming at the problem that the double-disc magnetic coupler is easy to cause the demagnetization failure of the permanent magnet under high temperature operation, the temperature field of the permanent magnet of the magnetic coupler is studied. The temperature field simulation model of the magnetic coupler permanent magnet was established. The finite element analysis method(FEM) was used to simulate the temperature field of the double-disc magnetic coupler permanent magnet. The accuracy of the simulation results was verified by the test bench. According to the simulation results, the genetic algorithm(GA) was used to optimize the Back Propagation(BP) neural network, which predicted the maximum temperature at which permanent magnets worked under different air gap and slip combinations. The simulation results and prediction results are compared to verify the accuracy of the GA-BP neural network prediction model, which provides a theoretical reference for the study of the temperature field of the double-disc magnetic coupler.