Fatigue strength assessment of “as built” AlSi10Mg manufactured by SLM with different build orientations

[Display omitted] •Fatigue tests on ‘as-built’ AlSi10Mg samples manufactured by SLM.•Moderate correlation between defects at the fracture origin and roughness parameters.•Fatigue strength model based on Kitagawa diagram including the effect of residual stresses. This study investigated the effects o...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:International journal of fatigue Ročník 139; s. 105737 - 16
Hlavní autoři: Beretta, S., Gargourimotlagh, M., Foletti, S., du Plessis, A., Riccio, M.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Kidlington Elsevier Ltd 01.10.2020
Elsevier BV
Témata:
Additive manufacturing
AlSi10Mg
Aluminum base alloys
As-built surface
Data points
Defects
Fatigue
Fatigue life
Fatigue strength
Laser beam melting
Life prediction
Materials fatigue
Prediction models
Residual stress
Residual stresses
Short cracks
Surface roughness
Synergistic effect
AlSi10Mg
Fatigue
As-built surface
Surface roughness
Additive manufacturing
Residual stresses
Defects
ISSN:0142-1123, 1879-3452
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:[Display omitted] •Fatigue tests on ‘as-built’ AlSi10Mg samples manufactured by SLM.•Moderate correlation between defects at the fracture origin and roughness parameters.•Fatigue strength model based on Kitagawa diagram including the effect of residual stresses. This study investigated the effects of the ‘as-built’ condition on the fatigue properties of an AlSi10Mg aluminium alloy manufactured by Selective Laser Melting (SLM) in different orientations. The results showed a moderate correlation between defects/surface features at the fracture origin and the roughness measurements. On the other hand, a fatigue strength analysis based on the size of features at fracture origin and residual stress just below the surface proved to be successful. Although considering the synergistic effect of different variables increased the scatter in fatigue life data points, a fatigue strength model including short crack effect and residual stresses made it possible to estimate the EIFS close to the real critical features. Results for life prediction models based on EIFS showed that 87% of the estimated number of cycles to failure are within a factor of 0.5–2 with respect to the experimental number of cycles to failure.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0142-1123
1879-3452
DOI:10.1016/j.ijfatigue.2020.105737