Srinivasa Jagu » Публикация

Аннотация Design optimization of axial hybrid magnetic thrust bearings (with bias magnets) is carried out using multi-objective evolutionary algorithms (MOEAs) and compared with the case of electro magnetic bearings (without bias magnets). Mathematical models of objective functions and associated constraints have been presented and discussed. The different aspects of MOEA implemented have been discussed. It is observed that the size of the bearing with bias magnets is considerably reduced as compared to the case of without bias magnets, with the objective function as the minimization of weight for the same operating conditions. Similarly, current densities get reduced drastically with biased magnets when the objective function is chosen as the minimisation of the powerloss. For illustration of various performances of the bearing, a typical design has been chosen from the final optimized population by an 'a posteriori' approach. Sensitivities for both the objective functions with respect to the outer radius, the inner radius, and the height of coil are observed to be approximately in the ratio 2.5:1.6:1. Analysis of final optimized population has been carried out and is compared with the case of without bias magnets and some salient points are observed in the case of using bias magnets.