Surface integrity investigations for prediction of fatigue properties after machining of alloy 718
Artikel i vetenskaplig tidskrift, 2021
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.
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.
Machining
Surface integrity
Fatigue prediction
Alloy 718
Non-conventional machining
Författare
Jonas Holmberg
RISE Research Institutes of Sweden
Högskolan Väst
Anders Wretland
GKN Aerospace Sweden
Peter Hammersberg
Chalmers, Industri- och materialvetenskap, Konstruktionsmaterial
Johan Berglund
RISE Research Institutes of Sweden
Alfredo Suárez
Tecnalia
Tomas Beno
Högskolan Väst
International Journal of Fatigue
0142-1123 (ISSN)
Vol. 144 106059Miljöanpassade flygmotordemonstratorer för ökad konkurrenskraft (SWE DEMO MOTOR)
VINNOVA (2015-06047), 2016-01-01 -- 2016-08-31.
Drivkrafter
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Bearbetnings-, yt- och fogningsteknik
Annan materialteknik
Styrkeområden
Produktion
Materialvetenskap
DOI
10.1016/j.ijfatigue.2020.106059