Surface Crack Growth Path and Fatigue Life Prediction due to Repeated Rolling/Sliding Contact.

Artificial intelligence (AI) techniques and in particular, adaptive neural networks (ANN) have been commonly used in order to Fatigue life prediction. The aim of this paper is to consider a new crack propagation principle based on simulating experimental tests on three point-bend (TPB) specimens, which allow predicting the fatigue life and fatigue crack growth rate (FCGR). An important part of this paper is estimation of FCG rate related to different load histories. The effects of different load histories on the crack growth life are obtained in different representative simulation and experiments.

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Fatigue Failure and Strength Evaluation of Traction Drive Rollers

Volume 6: 8th International Power Transmission and Gearing Conference ◽

10.1115/detc2000/ptg-14377 ◽

2000 ◽

Author(s):

Masana Kato ◽

Gang Deng ◽

Masashi Yamanaka ◽

Ryoji Yamamoto ◽

Noboru Ono ◽

...

Keyword(s):

Fatigue Life ◽

Fatigue Strength ◽

Crack Growth ◽

Surface Crack ◽

Traction Force ◽

Fatigue Tests ◽

Slip Ratio ◽

Traction Drive ◽

Surface Fatigue ◽

Surface Crack Growth

Abstract The surface fatigue failures of the traction drive rollers are different to that of gears and bearings because of the high traction force, skew and small slip ratio. In this research, fatigue tests of traction rollers were performed in different slip ratios and skew angles. The effects of running conditions on the fatigue lives of traction drive rollers are clarified and explained based on the surface crack growth and wear situations. Although a higher slip ratio will make a lower fatigue life, the fatigue strength will increase inversley under the skew conditions, because of the differences in mechanical and tribological condition for surface crack growth and the severe surface wear, which diminishes the surface crack length. For evaluation of the effects of such as slip ratio and skew on the fatigue strength of traction rollers, a new method is put forward in which the relationship between the surface temperature index and fatigue life is used instead of S-N curve.

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Recent Developments on the Unified Fatigue Life Prediction Method Based on Fracture Mechanics and its Applications

Journal of Marine Science and Engineering ◽

10.3390/jmse8060427 ◽

2020 ◽

Vol 8 (6) ◽

pp. 427 ◽

Cited By ~ 1

Author(s):

Fang Wang ◽

Weicheng Cui

Keyword(s):

Fatigue Life ◽

Fracture Mechanics ◽

Crack Growth ◽

Life Prediction ◽

Structural Reliability ◽

Influential Factors ◽

Fatigue Life Prediction ◽

Model Parameters ◽

Sensitivity Index ◽

Marine Structure

Safety analysis and prediction of a marine structure is of great concern by many stakeholders and the general public. In order to accurately predict the structural reliability of an in-use marine structure, one needs to calculate accurately the fatigue crack growth at any service time. This can only be possible by using fracture mechanics approach and the core of fracture-mechanics-based method is to establish an accurate crack growth rate model which must include all the influential factors of the same order of sensitivity index. In 2011, based on the analysis of various influencing factors, the authors put forward a unified fatigue life prediction (UFLP) method for marine structures. In the following ten years of research, some further improvements of this method have been made and the applications of this UFLP are carried out. In this paper, these progresses are reported and its underlying principles are further elaborated. Some basic test data used to determine model parameters are also provided.

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