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Multi-DIC based characterization of the fatigue behavior of additively manufactured architected materials

Additively manufactured architected materials are highly promising for future implant applications. However, ensuring reliable performance under cyclic mechanical loading remains a major challenge due to the combined effects of the complex macroscopic geometry and mesoscopic features (e.g., pores and surface roughness). This study investigates experimentally the cyclic behavior under compression-compression loading of additively manufactured architected materials, ranging from TPMS (triply periodic minimal surfaces) to the non-periodic spinodoid structures. A cost-efficient multi digital image correlation (multi-DIC) setup is used to characterize the local damage behavior in relation to the hysteresis loop and number of load cycles. This approach allows a particularly comprehensive…

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Additively manufactured architected materials are highly promising for future implant applications. However, ensuring reliable performance under cyclic mechanical loading remains a major challenge due to the combined effects of the complex macroscopic geometry and mesoscopic features (e.g., pores and surface roughness). This study investigates experimentally the cyclic behavior under compression-compression loading of additively manufactured architected materials, ranging from TPMS (triply periodic minimal surfaces) to the non-periodic spinodoid structures. A cost-efficient multi digital image correlation (multi-DIC) setup is used to characterize the local damage behavior in relation to the hysteresis loop and number of load cycles. This approach allows a particularly comprehensive characterization of non-periodic architected materials.
The results show that the multi-DIC method captures the fatigue damage well. Thereby, the fatigue behavior is influenced by multiple factors, including the macroscopic morphology and local geometric features. The fatigue damage occurs under plastic strain accumulation (ratcheting), where differences in the strain distribution can be attributed to their different macroscopic morphologies (periodic vs. non-periodic).

Artikelnummer
LCF10-2026-046

Titel
Multi-DIC based characterization of the fatigue behavior of additively manufactured architected materials
Autor(en)
L. Stampa, P. Grimm, J. K. Hufenbach, M. Zimmermann
DOI
10.48447/LCF10-2026-046
Veranstaltung
Tenth International Conference on Low Cycle Fatigue (LCF-10)
Jahr der Veröffentlichung
2026
Publikationsart
Tagungsmanuskript (PDF)
Sprache
Englisch
Stichwörter
Architected materials,TPMS,Spinodoid materials,Digital Image Correlation,Additive manufacturing