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Computational Mechanics
Erschienen in: Computational Mechanics 2/2023

10.11.2022 | Original Paper

Computational homogenization of fatigue in additively manufactured microlattice structures

verfasst von: F. Mozafari, I. Temizer

Erschienen in: Computational Mechanics | Ausgabe 2/2023

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Abstract

A novel computational approach to predicting fatigue crack initiation life in additively manufactured microlattice structures is proposed based on a recently developed microplasticity-based constitutive theory. The key idea is to use the concept of (micro)plastic dissipation as the driving factor to model fatigue degradation in additively manufactured metallic microlattice. An ad-hoc curve-fitting procedure is proposed to calibrate the introduced material constitutive parameters efficiently. The well-calibrated model is employed to obtain fatigue life predictions for microlattices through a diverse set of RVE-based finite element fatigue simulations. The model’s predictive capabilities are verified by comparing the simulation results with experimental fatigue data reported in the literature. The overall approach constitutes a unified setting for fatigue life prediction of additively manufactured microlattice structures ranging from low- to high-cycle regimes. It is also shown that the model can be applied to technologically relevant microlattices with mathematically-created complex microstructure topologies.
Vorheriger Artikel Dynamic analysis of flexoelectric systems in the frequency domain with isogeometric analysis

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Metadaten
Titel
Computational homogenization of fatigue in additively manufactured microlattice structures
verfasst von
F. Mozafari
I. Temizer
Publikationsdatum
10.11.2022
Verlag
Springer Berlin Heidelberg
Erschienen in
Computational Mechanics / Ausgabe 2/2023
Print ISSN: 0178-7675
Elektronische ISSN: 1432-0924
DOI
https://doi.org/10.1007/s00466-022-02243-1

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