Browsing by Author "Wretland, Anders"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Effects of Ultrasonics-Assisted Face Milling on Surface Integrity and Fatigue Life of Ni-Alloy 718(2016-11-01) Suárez, Alfredo; Veiga, Fernando; de Lacalle, Luis N.López; Polvorosa, Roberto; Lutze, Steffen; Wretland, Anders; FABRIC_INTEL; Tecnalia Research & InnovationThis work investigates the effects of ultrasonic vibration-assisted milling on important aspects such us material surface integrity, tool wear, cutting forces and fatigue resistance. As an alternative to natural application of ultrasonic milling in brittle materials, in this study, ultrasonics have been applied to a difficult-to-cut material, Alloy 718, very common in high-temperature applications. Results show alterations in the sub-superficial part of the material which could influence fatigue resistance of the material, as it has been observed in a fatigue test campaign of specimens obtained with the application of ultrasonic milling in comparison with another batch obtained applying conventional milling. Tool wear pattern was found to be very similar for both milling technologies, concluding the study with the analysis of cutting forces, exhibiting certain improvement in case of the application of ultrasonic milling with a more stable evolution.Item Surface integrity investigations for prediction of fatigue properties after machining of alloy 718(2021-03) Holmberg, Jonas; Wretland, Anders; Hammersberg, Peter; Berglund, Johan; Suárez, Alfredo; Beno, Tomas; FABRIC_INTELFatigue 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.