A General Pattern-Based Optimization of PM for Axial-Flux Magnetic Gear

More researchers are becoming fascinated with magnetic gears (MGs) lately since they have several advantages over traditional mechanical gearboxes, such as contactless operation, reduced noise and vibration, and no maintenance requirements. One of the magnetic gear topologies that is easier to assemble and works well for applications involving a physical separation between the input and output shafts, is axial-flux MGs (AFMGs). In this paper a general parameterized PM magnetization pattern is introduced. It is possible to achieve a higher torque density than with a traditional layout by selecting the optimal parameters of PM arrangement in this general pattern of AFMG. The proposed structure is evaluated by the 3-D finite element method analysis and optimized based on genetic algorithm.