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  5. Topology optimisation of self-supporting structures based on the multi-directional additive manufacturing technique

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Article
en
2023

Topology optimisation of self-supporting structures based on the multi-directional additive manufacturing technique

0 Datasets

0 Files

en
2023
Vol 18 (1)
Vol. 18
DOI: 10.1080/17452759.2023.2271458

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Leroy Gardner
Leroy Gardner

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Jun Ye
Qichen Guo
Hongjia Lu
+4 more

Abstract

Although additive manufacturing (AM) continues to gain widespread adoption, the overhang problem remains a critical issue affecting printing quality. The design of self-supporting structures via topology optimisation approaches has been extensively studied. However, current optimisation research predominantly focuses on 3-axis AM machines, overlooking the more recently developed multi-axis machines. Moreover, the performance sacrifice due to overhang constraints in 3-axis AM can be significant, especially in structures with small volume fractions. To address this, we propose a two-step approach considering overhang constraints for multi-axis AM. This approach begins with a structure optimised using traditional topology optimisation. In the first step, a new optimisation problem determines printing surfaces for the given structure. If the proportion of unprintable elements isn't satisfactory, a second re-optimisation step is carried out to further reduce the unprintable proportion. Several examples demonstrate the effectiveness of the proposed approach. Notably, the significant performance sacrifice associated with the 3-axis AM approach becomes negligible when applying our multi-axis AM-based method.

How to cite this publication

Jun Ye, Qichen Guo, Hongjia Lu, Pinelopi Kyvelou, Yang Zhao, Leroy Gardner, Yi Min Xie (2023). Topology optimisation of self-supporting structures based on the multi-directional additive manufacturing technique. , 18(1), DOI: https://doi.org/10.1080/17452759.2023.2271458.

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Publication Details

Type

Article

Year

2023

Authors

7

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1080/17452759.2023.2271458

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