Virtual and Physical Prototyping (Dec 2023)

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

  • Jun Ye,
  • Qichen Guo,
  • Hongjia Lu,
  • Pinelopi Kyvelou,
  • Yang Zhao,
  • Leroy Gardner,
  • Yi Min Xie

DOI
https://doi.org/10.1080/17452759.2023.2271458
Journal volume & issue
Vol. 18, no. 1

Abstract

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ABSTRACTAlthough 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.

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