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dc.contributor.authorHolmberg, Jonas
dc.contributor.authorWretland, Anders
dc.contributor.authorHammersberg, Peter
dc.contributor.authorBerglund, Johan
dc.contributor.authorSuárez, Alfredo
dc.contributor.authorBeno, Tomas
dc.date.accessioned2021-01-09T15:51:59Z
dc.date.available2021-01-09T15:51:59Z
dc.date.issued2021-03
dc.identifier.citationHolmberg, Jonas, Anders Wretland, Peter Hammersberg, Johan Berglund, Alfredo Suárez, and Tomas Beno. “Surface Integrity Investigations for Prediction of Fatigue Properties after Machining of Alloy 718.” International Journal of Fatigue 144 (March 2021): 106059. doi:10.1016/j.ijfatigue.2020.106059.en
dc.identifier.issn0142-1123en
dc.identifier.urihttp://hdl.handle.net/11556/1044
dc.description.abstractFatigue 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.en
dc.description.sponsorshipThe 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.en
dc.language.isoengen
dc.publisherElsevier Ltden
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleSurface integrity investigations for prediction of fatigue properties after machining of alloy 718en
dc.typearticleen
dc.identifier.doi10.1016/j.ijfatigue.2020.106059en
dc.rights.accessRightsopenAccessen
dc.subject.keywordsSurface integrityen
dc.subject.keywordsFatigue predictionen
dc.subject.keywordsAlloy 718en
dc.subject.keywordsMachiningen
dc.subject.keywordsNon-conventional machiningen
dc.journal.titleInternational Journal of Fatigueen
dc.page.initial106059en
dc.volume.number144en


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