Dynamic Characteristics and Load Sharing of Herringbone Wind Power Gearbox

Abstract

In this study, the dynamic model for the herringbone planetary gear transmission system is established by the lumped parameter method based on the system dynamics and the Lagrange equation, and the impact of the support stiffness and the torsional stiffness on dynamic characteristics is studied. The research results have a guiding significance for the design of the herringbone gear transmission system. In this model, the herringbone gear is treated as a special gear coupled by 2 opposite helical gears, where the stagger angle, comprehensive meshing error, support stiffness, support damping, and load inertia are considered in the analysis of dynamics. Moreover, the dynamic characteristic of the carrier is considered as well. By calculating the meshing force curve of the transmission system, the impact of the stagger angle, supporting stiffness, and the torsional stiffness on meshing force and load sharing coefficient is analyzed. The results show that the stagger angle has an obvious impact on load sharing coefficient while it has little impact on maximum meshing force. And the support stiffness has a more obvious impact on the dynamic characteristics of the system. The recommendary support stiffness of the system is that all of the support stiffness of the sun gear, planetary gear, ring gear, and carrier is 107 N/m. The torsional stiffness has little impact on the dynamic characteristics of transmission system, except the torsional stiffness of planetary gear, and carrier has an obvious impact on load sharing coefficient. The commercial software ADAMS carried out dynamics analysis of the transmission system to verify the necessity validity of the theoretical analysis.

Influence mechanism of multi-coupling error on the load sharing characteristics of herringbone gear planetary transmission system

“…The radial stiffness of the transmission system has been studied in our previous work. 35 Therefore, the radial support stiffness and support damping of the transmission system are very large.…”

“…The radial stiffness of the transmission system has been studied in our previous work. 35 Therefore, the radial support stiffness and support damping of the transmission system are very large. The fourth-order Fourier series of the time-varying meshing stiffness is used to gain the curves of timevarying stiffness as shown in Figure 11, where R-P represent the ring-planet gears and S-P mean the sun-planet gears.…”

Research on time-varying reliability of wind power gearbox with failure correlation

“…Due to complexity of the internal and external excitation and the correlation between the coupling effects of various components in the wind power gearbox system, stress of the gear and bearing is time-varying and has failure correlation. The data in the references (Jantara et al, 2020; Mo et al, 2018) show that the reliability of the gearbox is dynamic and has attenuation characteristics, and the data in the references (Inturi et al, 2022;Srinivasan and Robert, 2021) show that the parts of the whole gearbox system are not independent, and there is a certain correlation between failure of gearbox parts. So the time-varying reliability of a wind power gearbox with failure correlation is more accurate and in line with the actual situation.…”

Dynamic characteristics analysis and experimental of differential dual drive servo feed system

“…Whalley R 4 studied the axial and torsional deformation of ball screw by using the method of continuous beam model, and established the mathematical model of servo feed system. The fairly mature approach for modeling the screw drive feed system is to use the lumped mass method to model the elastic screw drive system, [5][6][7][8][9][10][11] Feng GH 5 constructed a preload-adjustable ball screw feed drive system based on a modified double nut structure, meanwhile, proposed a lumped dynamic model to study the preload variation of the system. Liu D 6 modeled the elastic ball screw drives system through lumped mass method, and calculated the frequency response characteristic by Lagrange energy method and state space analysis.…”