Surface integrity investigations for prediction of fatigue properties after machining of alloy 718Show others and affiliations
2021 (English)In: International Journal of Fatigue, ISSN 0142-1123, E-ISSN 1879-3452, Vol. 144, article id 106059Article in journal (Refereed) Published
Abstract [en]
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. © 2020 The Authors
Place, publisher, year, edition, pages
Elsevier Ltd , 2021. Vol. 144, article id 106059
Keywords [en]
Alloy 718, Fatigue prediction, Machining, Non-conventional machining, Surface integrity, Fatigue testing, Petroleum prospecting, Regression analysis, Component based, Fatigue performance, Fatigue properties, Manufacturing process, Processing method, Regression model, Fatigue of materials
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-51925DOI: 10.1016/j.ijfatigue.2020.106059Scopus ID: 2-s2.0-85097719719OAI: oai:DiVA.org:ri-51925DiVA, id: diva2:1520321
Note
Funding details: VINNOVA; Funding text 1: The results from this work was granted from the research project G5Demo-2 [2013-04666] and SWE DEMO MOTOR [2015-06047] financed by VINNOVA, Sweden’s innovation agency. Special thanks to GKN Aerospace Sweden AB. The authors also would like to thank the KK-foundation and the SiCoMaP research school.
2021-01-202021-01-202025-09-23Bibliographically approved