Design Optimization of Magnetic Actuator using Multi-phase Level-set Model

Level-set method has been successfully applied to find optimal distribution of single material in magnetic field. In practice many magnetic actuators are made up of multiple materials such as steel, copper and permanent magnet. This paper presents a new optimization method to design a magnetic actuator consisted of permanent magnet (PM) and ferromagnetic material (FM). We represent three different material���s properties (PM, FM and air) by introducing multiphase level-set model in which two level-set functions are employed. The optimization problem is formulated to maximize the magnetic force under the volume constraints of each material and adjoint sensitivities are used to update each level-set function. To validate the usefulness of the proposed method, the design of simple C-core actuator is performed