Probabilistic Life Prediction and Bending Fatigue Test for Gear

doi:10.3901/JME.2017.18.169

Abstract

Abstract: Manufacture of the precision and long life gears has a characteristic of high cost and long cycle, furthermore, fatigue test for the gears is time-consuming and laborious. In order to get the life information of gears accurately and conveniently, the concept of minimum order statistics is used to establish a model for predicting the probabilistic life of gears. Then the probabilistic life relationship of gears with different number of teeth is established. The life data of specific gear are taken as input variable for the model, after translating by model the probabilistic life of other gears can be obtained. At the same time, a gear bending fatigue test is carried out at a constant stress level, and in the course of the test, the method of monitoring and evaluating for gear failure is explained. Next, two kinds of analysis of failure mechanism and fracture for gear are combined to show the failure mode, and test data are employed to show the instructions of the model. The model is finally validated by a statistical method of random censoring data, and the advantages of model with good prediction ability and dealing with small amount of data are proved.

Key words: gear fatigue test, minimum order statistics, probability life, random censoring data, reliability model

CLC Number:

TB302

LI Ming, XIE Liyang, ZHANG Yu, BAI Xin, HU Jiexin. Probabilistic Life Prediction and Bending Fatigue Test for Gear[J]. Journal of Mechanical Engineering, 2017, 53(18): 169-175.

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