A parameter optimization design method of flexible hinge

The flexible hinge is key component of the hyperstatic platform. It influences performances of the hyperstatic platform directly. This paper proposed the multi-objective optimization method to improve flexible hinge’s performance. According to the working condition of the flexible hinge on the hyperstatic platform, the parameters affecting the performance index of the flexible hinge and the corresponding evaluation indexes are determined through analysis. Through orthogonal experiment design, the different structure model of flexible hinge with different parameters was obtained. Based on the 3D model of flexible hinge, the ANSYS software was used for simulation and calculation. Based on BP neural network, the function mapping model of structural design parameters and performance index has been established. On this basis, genetic algorithm is used to solve the optimal structural parameters that satisfy the optimal performance. The optimization results of structure parameters were obtained. It is proved that the performance parameters of the optimized flexible hinge are better than those of other parameters. This method can provide the theoretical basis and technical support for the fast design of precision structural parts.