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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