Optimization for Giant magnetostrictive smart component based on multi-objective genetic algorithm

Abstract

In order to machine the non-cylinder piston pinhole, a new method is proposed by applying the Giant magnetostrictive materials (GMM) component. An optimization design model combining the smart component genetic algorithm with the finite element method for GMM smart component is established. Nondominated sorting genetic algorithm (NSGA) is used to optimize the model. The optimum results show that the NSGA combining with finite element method is a good way to carry out the optimization design of GMM smart component.