4.7 Article

Failure analysis of bio-inspired corrugated sandwich structures fabricated by laser powder bed fusion under three-point bending

期刊

COMPOSITE STRUCTURES
卷 263, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.compstruct.2021.113724

关键词

Bio-inspired corrugated sandwich structure; (BCSS); Laser powder bed fusion; Numerical simulation; Bending performance; Failure mode

资金

  1. joint innovation fund of the first institute of aerospace science and technology
  2. Fundamental Research Funds for the Central Universities, China [2019kfyXKJC042, 2019kfyXMPY005]

向作者/读者索取更多资源

The study investigated the failure mechanisms and processes of bio-inspired corrugated sandwich structures (BCSS) manufactured by laser powder bed fusion (LPBF) under three-point bending using theoretical derivation, experimental, and finite element method (FEM). The results showed that panel buckling is the dominant failure mode, while panel yielding or core buckling is the fatal failure mode for structures whose initial failure mode is panel buckling. Furthermore, the experimental and FEM results were in good agreement with analytical predictions.
Corrugated sandwich structures have been widely used in aviation and aerospace industries due to their perfect mechanical properties. In our work, the theoretical derivation, experimental and finite element method (FEM) were applied to investigate the failure mechanisms and processes of bio-inspired corrugated sandwich structures (BCSS) manufactured by laser powder bed fusion (LPBF) under three-point bending. The results show that the failure maps of BCSS with different structural parameters can be obtained based on the theoretical model, and the panel buckling is the fundamental failure mode because it takes up most of the area of failure maps. Moreover, the panel buckling cannot cause the BCSS to fail, and the panel yielding or core buckling is the fatal failure mode for the structures whose initial failure mode is the panel buckling. Furthermore, the experimental and FEM results agree well with those of analytical predictions.

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