Friction interface morphology inversion based on working condition parameter information
To enhance the design of wet clutches,improve the reliability of the transmission system,and provide basic data for engineering research and application,taking wet clutches as the research object,a three-dimensional micro-interface morphology inversion model of wet clutch friction component was constructed by designing a disk-disk experiment of a universal mechanical testing machine(UMT)friction and wear tester,and applying recurrent neural network(RNN)algorithm under given working conditions.The accuracy of the RNN inversion model was verified by comparing the real values and inversion values under 11 sets of working conditions,with a mean absolute percentage error(MAPE)of 4.04％and a coefficient of determination of 0.980 6 under the test condition.Finally,the effects of two working condition parameters,rotational speed and pressure,on the interface morphology were analyzed using the inversion model.The interface morphology of the wet friction pair was significantly affected by pressure.
万方数据
维普
