Study of size effects in fretting fatigue

A Review of Research Progress on the Fretting Fatigue Mechanism and Protection Measures of Metal Matrix Composites

“…Therefore, the higher the proportion of grinding abrasive wear in the fretting process, the more severe the overall wear rate will be. Cardoso et al [32] analyzed the effect of the volume of material subjected to forces in contact and the fretting damaged area of the sliding zone on friction. Friction fatigue tests were completed with different thicknesses of specimens (Figure 2).…”

“…The results show that the stress gradient on the subsurface has a significant effect on fatigue life, while frictional damage due to relative sliding between contact surfaces has a smaller effect on fatigue life. Cardoso et al [32] analyzed the effect of the volume of material subjected to forces in contact and the fretting damaged area of the sliding zone on friction. Friction fatigue tests were completed with different thicknesses of specimens (Figure 2).…”

An applied approach for estimating fretting fatigue lifetime of dovetail joints using coupon scale test data

“…Based on the fretting fatigue lives presented in Figure 5 the lifetime of Ti-6Al-4V components lies anywhere between and cycles, despite the fact that in all experiments the same 10 4 3 × 10 6 kind of set-up and material were used. Even when one considers the complexity of fretting fatigue, the influence of the size effect [63] and the impact small differences between test setups can have on the life of the affected components, such difference in reported lives is rather extreme. This can be limitation for the proposed technique, as its application requires a relatively large amount of reliable experimental data.…”

Experimental study and fretting fatigue life prediction in dovetail assembly considering stress–temperature nonlinear coupling effect

“…In terms of fretting fatigue life prediction of dovetail assembly or standard specimen, the existing life prediction methods mainly include the critical plane method, 22 continuum damage mechanics method, 23 fracture mechanics method, 24 fretting specific parameter method, 25 and machine learning method. 26 Among them, the critical plane method focuses on the selection of damage parameters, generally including FP, 27 MP, 28 and SSR 29 represented by stress parameters; FS 17 and BM 30 represented by strain parameters; and SWT 31 represented by energy parameters; the continuum damage mechanics model takes the damage parameters as the media to establish the macroscopic life prediction model based on the microscopic mechanism of internal damage of materials, predominantly represented by Chaboche, 32 Lemaitre, 33 and Bhattacharya Ellingwood 34 ; the fracture mechanics method is essentially based on Paris 35 theory, whose research focus is crack propagation; the fretting specific parameter method is mostly represented by Ruiz 13 parameter method, primarily establishing the macromathematical expression between the wear degree (friction work) of the contact surface and the fretting fatigue life; and the machine learning method is based on the historical data of different influencing factors, constructing the fretting fatigue life prediction model through neural network model self-learning.…”