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STATISTICAL EVALUATION OF CRACK-INITIATING INHOMOGENITIES ...

... IN ADDITIVELY MANUFACTURED ALSI10MG SAMPLES UNDER CYCLIC LOADING

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Abstract:

The fatigue behavior of additively manufactured parts is particularly influenced by process-induced inhomogeneities. These inhomogeneities are statistically distributed in parts. According to the statistical size effect, the probability of the occurrence of a fracture-inducing inhomogeneity is greater in a large part than in a small one. In this study, the influence of these inhomogeneities on the fatigue behavior of two different part geometries is investigated under rotating bending and tension-compression loading. For evaluation, models by Murakami, Kitagawa and Takahashi as well as Shiozawa are applied.

Reference: ADD-2022-007

Title: STATISTICAL EVALUATION OF CRACK-INITIATING INHOMOGENITIES IN ADDITIVELY MANUFACTURED ALSI10MG SAMPLES UNDER CYCLIC LOADING
Author(s): L. Strauß, N. Kurenbach, S. Lübbecke, M. Moser, V. Nedeljkovic-Groha, G. Löwisch
DOI: 10.48447/ADD-2022-007
Year of publication: 2022
Publication type: conference paper (PDF)
Language: German
Keywords: AlSi10Mg, √𝒂𝒓𝒆𝒂, Kitagawa-Takahashi, PBF-LB, Shiozawa, statistical distribution

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Author(s): T.Schafran, B. Schramm, G. Kullmer, D. T. Schraeder

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Editor(s): M. Eiber, BMW Group, München; Prof. Dr.-Ing. H. A. Richard, Universität Paderborn

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Author(s): E. Müller

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Author(s): C. Schmid, L. Risse, C. Herden, A. von Helbig, M. Dennin, M. Ehrlenbach, J.P. Brüggemann, L. Steuernagel

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Analyse des Zusammenhangs zwischen den Werkstoffvolumeneigenschaften und den Auswirkungen prozessinduzierter

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