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Synergistic enhancement of strength and toughness through meta-biomimetic design: Integrating crossed-lamellar and bouligand microstructures.
- Source :
-
Composites Science & Technology . Jul2024, Vol. 254, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- The development of fiber-reinforced polymer (FRP) composites, striking a balance between high strength and toughness, is a pressing requirement for the contemporary aerospace industry. Regarding the design of microstructures for enhancing strength and toughness, bionic crossed-lamellar and bouligand structures serve as noteworthy examples. However, individual biomimetic microstructures have approached the upper limit of their strengthening and toughening effects. This paper firstly proposed a "Meta-Biomimetic" design concept : hybridizing biological microstructures with defensive functionalities and those with offensive functionalities in mechanical design, aiming to achieve a metamaterial with both offensive and defensive capabilities. Namely this work retains the three-layer cross-lamellar microstructure of conch shells to stimulate subcritical damage for enhanced energy dissipation, while introducing a bouligand microstructure of lobster homarus americanus to increase the high load-bearing capacity at both tension and compression ends. The optimal design for enhancing the strength and toughness is the three-layer crossed-lamellar microstructure modified with a full bouligand structure, which increases strength and toughness simultaneously by more than 500% compared to natural structures. These studies are poised to not only steer the design of FRP microstructures towards enhanced strength and toughness but also furnish a foundation for interdisciplinary research in biomimetics within composite materials. [Display omitted] [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02663538
- Volume :
- 254
- Database :
- Academic Search Index
- Journal :
- Composites Science & Technology
- Publication Type :
- Academic Journal
- Accession number :
- 177867217
- Full Text :
- https://doi.org/10.1016/j.compscitech.2024.110668