TY  - Journal Article
AU  - Holmberg, Jonas
AU  - Wretland, Anders
AU  - Hammersberg, Peter
AU  - Berglund, Johan
AU  - Suárez, Alfredo
AU  - Beno, Tomas
TI  - Surface integrity investigations for prediction of fatigue properties after machining of alloy 718
PY  - 2021
PB  - Elsevier Ltd
AB  - Fatigue performance is crucial for gas turbine components, and it is greatly affected by the manufacturing processes. Ability to predict the expected fatigue life of a component based on surface integrity has been the objective in this work, enabling new processing methods.
Alloy 718 samples were prepared by different machining setups, evaluated in fatigue testing and surface integrity investigations. These results generated two predictive statistical multi-variate regression models.
The fatigue correlated well with roughness, residual stresses and deformation. The two models showed great potential, which encourages further exploration to fine-tune the procedure for the particular case.
SN  - 0142-1123
UR  - http://hdl.handle.net/11556/1044
DX  - 10.1016/j.ijfatigue.2020.106059
ER  -