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Surface integrity investigations for prediction of fatigue properties after machining of alloy 718
University West, Department of Engineering Science, Division of Subtractive and Additive Manufacturing. RISE Research Institutes of Sweden AB, Argongatan 30, 431 53 Mölndal, (SWE). (PTW)ORCID iD: 0000-0003-2991-2911
GKN Aerospace Engine Systems AB, Trollhättan (SWE).
Chalmers University of Technology, 412 96 Gothenburg, (SWE).
RISE Research Institutes of Sweden AB, Argongatan 30, 431 53 Mölndal, (SWE).
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2021 (English)In: International Journal of Fatigue, ISSN 0142-1123, E-ISSN 1879-3452, Vol. 144, article id 106059Article in journal (Refereed) 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.

Place, publisher, year, edition, pages
2021. Vol. 144, article id 106059
Keywords [en]
Surface integrity; Fatigue prediction; Alloy 718; Machining; Non-conventional machining
National Category
Manufacturing, Surface and Joining Technology
Research subject
Production Technology
Identifiers
URN: urn:nbn:se:hv:diva-17282DOI: 10.1016/j.ijfatigue.2020.106059ISI: 000606749400005Scopus ID: 2-s2.0-85097719719OAI: oai:DiVA.org:hv-17282DiVA, id: diva2:1599587
Available from: 2021-10-01 Created: 2021-10-01 Last updated: 2022-03-30

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Holmberg, JonasBeno, Tomas

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Citation style
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