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Experimental and numerical characterization of imperfect additively manufactured lattices based on triply periodic minimal surfaces
- Source :
- Materials & Design, Vol 233, Iss , Pp 112197- (2023)
- Publication Year :
- 2023
- Publisher :
- Elsevier, 2023.
-
Abstract
- Lattices based on triply periodic minimal surfaces (TPMS) are attracting increasing interest in seminal industries such as bone tissue engineering due to their excellent structure-property relationships. However, the potential can only be exploited if their structural integrity is ensured. This requires a fundamental understanding of the impact of imperfections that arise during additive manufacturing. Therefore, in the present study, the structure-property relationships of eight TPMS lattices, including their imperfections, are investigated experimentally and numerically. In particular, the focus is on biomimetic network TPMS lattices of the type Schoen I-WP and Gyroid, which are fabricated by laser powder bed fusion from the biocompatible alloy Ti-42Nb. The experimental studies include computed tomography measurements and compression tests. The results highlight the importance of process-related imperfections on the mechanical performance of TPMS lattices. In the numerical work, firstly the as-built morphology is artificially reconstructed before finite element analyses are performed. Here, the reconstruction procedure previously developed by the same authors is used and validated on a larger experimental matrix before more advanced calculations are conducted. Specifically, the reconstruction reduces the numerical overestimation of stiffness from up to 341% to a maximum of 26% and that of yield strength from 66% to 12%. Given a high simulation accuracy and flexibility, the presented procedure can become a key factor in the future design process of TPMS lattices.
Details
- Language :
- English
- ISSN :
- 02641275
- Volume :
- 233
- Issue :
- 112197-
- Database :
- Directory of Open Access Journals
- Journal :
- Materials & Design
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.0ca260d707884f9a8c5a827e1f00b5ee
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/j.matdes.2023.112197