Digitala Vetenskapliga Arkivet

Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Surface integrity investigations for prediction of fatigue properties after machining of alloy 718
RISE Research Institutes of Sweden, Material och produktion, Tillverkningsprocesser. University West, Sweden.ORCID-id: 0000-0003-2991-2911
GKN Aerospace Engine System Sweden AB, Sweden.
Chalmers University of Technology, Sweden.
RISE Research Institutes of Sweden, Material och produktion, Tillverkningsprocesser.ORCID-id: 0000-0003-3656-1806
Visa övriga samt affilieringar
2021 (Engelska)Ingår i: International Journal of Fatigue, ISSN 0142-1123, E-ISSN 1879-3452, Vol. 144, artikel-id 106059Artikel i tidskrift (Refereegranskat) 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

Ort, förlag, år, upplaga, sidor
Elsevier Ltd , 2021. Vol. 144, artikel-id 106059
Nyckelord [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
Nationell ämneskategori
Naturvetenskap
Identifikatorer
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
Anmärkning

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.

Tillgänglig från: 2021-01-20 Skapad: 2021-01-20 Senast uppdaterad: 2023-05-22Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Sök vidare i DiVA

Av författaren/redaktören
Holmberg, JonasBerglund, Johan
Av organisationen
Tillverkningsprocesser
I samma tidskrift
International Journal of Fatigue
Naturvetenskap

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 54 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf