Research on fatigue life prediction of flexspline of harmonic reducer based on BP neural network

doi:10.16731/j.cnki.1671-3133.2024.04.019

Abstract

Abstract: 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 object, 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.

Key words: flexspline, stress analysis, fatigue life prediction, finite element, Back Propagation (BP) neural network

CLC Number:

TH132.43

CHENG Yuanbin, YUAN Wenping, ZHANG Tao, LIU Zhifeng. Research on fatigue life prediction of flexspline of harmonic reducer based on BP neural network[J]. Modern Manufacturing Engineering, 2024, 523(4): 140-145.

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