Optimization design for dynamic characteristics of face gear drive with surface-active modification

Abstract

The surface-active modification(SAM) method is proposed to decrease the vibration of the face gear drive. Firstly, the unloading performances such as the fourth-order transmission error(4-TE), the length of the contact ellipse, and the direction of the contact path are preset to modify the face gear pair. Secondly, a dynamic model is developed to attain the normal vibration acceleration(NVA) which is chosen as the optimization objective. The genetic algorithm(GA) is applied to solve the optimization model for searching for the optimal modification parameters. Thirdly, a numerical calculation is performed to investigate the influence of the modification parameters and the meshing stiffness on vibration. Besides, the bifurcation characteristics of the system are also explored. The results show that the amplitude of the loaded transmission error(ALTE) and the vibration are reduced after the optimization. Not only is vibration linked to mean meshing stiffness, but also the harmonic amplitude of meshing stiffness impacts it significantly. SAM lessens the range of chaotic motion, which helps to improve system stability. This study provides a theoretical basis for the vibration reduction of face gear pairs design.