Surface integrity investigations for prediction of fatigue properties after machining of alloy 718

• Published in: International journal of fatigue Vol. 144; p. 106059
• Main Authors: Holmberg, Jonas, Wretland, Anders, Hammersberg, Peter, Berglund, Johan, Suárez, Alfredo, Beno, Tomas
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.03.2021
• Subjects: Alloy 718; Component based; Fatigue of materials; Fatigue performance; Fatigue prediction; Fatigue properties; Fatigue testing; Machining; Manufacturing process; Non-conventional machining; Petroleum prospecting; Processing method; Production Technology; Produktionsteknik; Regression analysis; Regression model; Surface integrity; Surface integrity; Fatigue prediction; Alloy 718; Non-conventional machining; Machining
• ISSN: 0142-1123; 1879-3452; 1879-3452
• DOI: 10.1016/j.ijfatigue.2020.106059

•Predictive fatigue life models surface integrity investigations and fatigue testing.•The models are to be used when selecting between different manufacturing alternatives.•The models combines topography, residual stress and deformation. 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.