Optimized design for a hybrid magnetic bearing for the artificial heart

In this study, an optimization design method is developed to design the magnetic circuit of the diagonal flow pump for the maglev artificial heart. An optimization design method of the magnetic circuit is developed with genetic algorithms. A reluctance model by using an equivalentcircuit method is used to model the magnetic bearing. Using the proposed method, we were able to optimize a magnetic bearing with an attractive force of 24.2 (N), which is larger than the desired attractive force. The magnetic bearing also has a power consumption of 1.5 (W), which is less than the expected power consumption. In addition, the size of the magnetic bearing is small enough to use for the maglev artificial heart. The developed optimization method with genetic algorithms and the reluctance model by using an equivalent circuit method is a useful design tool for magnetic bearings.