Surface integrity investigations for prediction of fatigue properties after machining of alloy 718
Journal article, 2021
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
Author
Jonas Holmberg
RISE Research Institutes of Sweden
University West
Anders Wretland
GKN Aerospace Sweden
Peter Hammersberg
Chalmers, Industrial and Materials Science, Engineering Materials
Johan Berglund
RISE Research Institutes of Sweden
Alfredo Suárez
Tecnalia
Tomas Beno
University West
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.
Driving Forces
Sustainable development
Subject Categories
Applied Mechanics
Manufacturing, Surface and Joining Technology
Other Materials Engineering
Areas of Advance
Production
Materials Science
DOI
10.1016/j.ijfatigue.2020.106059