2017
DOI: 10.1016/j.ijfatigue.2017.06.007
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Prediction of the surface finishing roughness effect on the fatigue resistance of Ti-6Al-4V ELI for implants applications

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Cited by 29 publications
(22 citation statements)
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“…Da Silva et al 11 reported a prediction method for the fatigue limit (σ f ) of Ti-6Al-4V ELI when it is correlated to a theoretical semi-circular notch described by the R z parameter. As reproduced in Figure 6, it is possible to predict that the fatigue strength for R z = 13 μm is 545 MPa.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Da Silva et al 11 reported a prediction method for the fatigue limit (σ f ) of Ti-6Al-4V ELI when it is correlated to a theoretical semi-circular notch described by the R z parameter. As reproduced in Figure 6, it is possible to predict that the fatigue strength for R z = 13 μm is 545 MPa.…”
Section: Discussionmentioning
confidence: 99%
“…Laser treated 1.9 ± 0.8 12.9 ± 2.7 Figure 6. Curve of fatigue limit (σf) in function of roughness [11].…”
Section: Discussionmentioning
confidence: 99%
“…Figure 12a,b highlight the failure origin from a roughness valley. The substantive effect of the surface roughness on the fatigue strength is well reported in [76][77][78]. The given examples are from the unprocessed AB series.…”
Section: Failure From Surface Featuresmentioning
confidence: 58%
“…The micrograph in Figure taken from the fatigue crack nucleation region reveals that corrosion pits around 50 μm are formed during the anodizing process at 40 V/6 h and they are responsible for the unsatisfactory fatigue performance. In fact, from the work of da Silva et al, the size of 50 μm represents a very critical value to decrease the fatigue resistance of surface‐modified titanium alloys.…”
Section: Resultsmentioning
confidence: 99%