Research on Modeling and Model Modification Technology for Prediction of Gear Pair Wear Life under Mixed Lubrication

Abstract

Gear pair wear can cause degradation of the overall performance of the transmission system, which is a key concern in engineering practice. When the gear transmission system operates, the gear pair is often in a mixed lubrication state. Aiming at the problem of gear wear under mixed lubrication, a wear correction model is proposed based on wear rate coefficient identification and combined with mixed lubrication theory. Firstly, the force and motion parameters during gear meshing are analyzed and calculated. Then, the obtained results are used as input parameters for hybrid lubrication solution to obtain the rough peak contact ratio and friction coefficient. At the same time, wear experiments were conducted to measure the surface topography and calculate the wear amount of the tooth surface using a super depth of field three-dimensional microscope. Then, the wear rate coefficient is identified based on experimental data under different operating conditions. Finally, based on the mixed lubrication solution results and the wear rate coefficients obtained from experimental data, a modified wear prediction model equation for gear pairs is obtained. Using this model can better analyze the wear of gear pairs under mixed lubrication, and predict the performance degradation and even the remaining life of gear transmission systems.