3D-printable Kresling-embedded honeycomb metamaterials with optimized energy absorption capability

Haiying Yang, Yuheng Liu, Haibao Lu*, Ran Tao*, Xueyong Wei, Yong Qing Fu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Kresling origami structure has attracted significant interest for achieving extraordinary mechanical properties. In this study, we proposed a new strategy to develop 3D-printable Kresling-embedded honeycombs (KEHs) based mechanical metamaterials and achieve optimized mechanical energy absorption capability. By exploiting the twisted deformation modes and boundary constraints, various KEH reinforced metamaterials were designed, where their deformation behaviors and energy absorption properties were investigated using finite element analysis and quasi-static compression tests. Effects of orientation twisting angle, boundary constraint and crease tilting angle on the deformation behaviors of these KEH reinforced metamaterials were studied to optimize their energy absorption properties. Finally, deformation behaviors and energy absorption properties of KEH reinforced metamaterials incorporated of KEH arrays in both 2D structure and 3D structures were studied. Both experimental and simulation results showed that the proposed KEH reinforced metamaterials achieved much more stable compression behaviors and higher energy absorption capabilities than those of the traditional honeycomb structures. This study provides a novel KEH reinforcement strategy for 3D printed metamaterials with optimized energy absorption capabilities to dramatically expand their practical applications.

Original languageEnglish
Article number125008
JournalSmart Materials and Structures
Volume33
Issue number12
DOIs
Publication statusPublished - Dec 2024

Keywords

  • 3D printing
  • energy absorption
  • honeycomb
  • mechanical metamaterial

Fingerprint

Dive into the research topics of '3D-printable Kresling-embedded honeycomb metamaterials with optimized energy absorption capability'. Together they form a unique fingerprint.

Cite this