Journal
THIN-WALLED STRUCTURES
Volume 164, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.tws.2021.107810
Keywords
Energy absorption; Bi-graded honeycomb; 3D printing; Multi-objective optimization; Active learning
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Funding
- Postdoctoral Science Foundation of Hubei Province, China [G60]
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The novel bi-graded honeycomb structure improves energy absorption capacity and reduces peak crushing force through the introduction of thickness gradients. Numerical simulations and experimental validation were used to optimize the design for enhanced performance.
A novel bi-graded honeycomb was proposed by introducing both in-plane and out-of-plane thickness gradients into a regular honeycomb. The graded honeycombs were additively manufactured by fused deposition modeling (FDM) with polylactic acid (PLA) and then tested for axial crushing. Numerical simulation models were constructed through LS-DYNA and validated using experiment results. Based on the super folding element (SFE) method, theoretical models of the proposed bi-graded honeycombs were derived and the accuracy for crushing response was validated against the numerical results. Finally, an active learning based multi-objective optimization algorithm was used to seek the optimal design. The results showed that the bi-graded design for honeycomb structures could improve energy absorption capacity and decrease the peak crushing force in the Pareto frontier manner. The specific energy absorption of the optimal bi-graded honeycomb could be 45.6% higher than that of the regular honeycomb while the peak crushing force was controlled at the same level.
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