Research on fatigue life prediction of flexspline of harmonic reducer based on BP neural network
The flexspline is a vulnerable part of the harmonic reducer.Driven by the high rotation speed of the wave generator,its fatigue life has always been a research focus of concern.Takes flexible wheel of a cup-type harmonic reducer as the research ob-ject,establishes a finite element simulation model,the relationship between its maximum stress and the parameters such as the length of the cylinder,the thickness of the cup wall and the radius of different transition fillets were obtained.Based on the S-N curve of the flexspline,the fatigue life of the flexspline was calculated,and the prediction of fatigue life was achieved using BP neural network.
flexsplinestress analysisfatigue life predictionfinite elementBack Propagation(BP)neural network
万方数据
维普
