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Fatigue test data applicability for additive manufacture: A..:
Jason Rogers
;
Ma Qian
;
Joe Elambasseril
...
http://www.sciencedirect.com/science/article/pii/S0264127523003933. , 2023
Link:
https://doi.org/10.1016/j.matdes.2023.111978
RT Journal T1 <Title>Fatigue test data applicability for additive manufacture: A method for quantifying the uncertainty of AM fatigue data</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:c19af6327e39492b9b0a5d7657e8d189&Exemplar=1&LAN=DE A1 Jason Rogers A1 Ma Qian A1 Joe Elambasseril A1 Colin Burvill A1 Craig Brice A1 Chris Wallbrink A1 Milan Brandt A1 Martin Leary PB Elsevier YR 2023 K1 Uncertainty quantification K1 Additive manufacturing K1 Powder bed fusion K1 Certification K1 Standards K1 Error K1 Materials of engineering and construction. Mechanics of materials K1 TA401-492 JF http://www.sciencedirect.com/science/article/pii/S0264127523003933 LK http://dx.doi.org/https://doi.org/10.1016/j.matdes.2023.111978 DO https://doi.org/10.1016/j.matdes.2023.111978 SF ELIB - SuUB Bremen
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