Mechanics of re-entrant anti-trichiral honeycombs with nature-inspired gradient distributions

• DOI: 10.1016/j.ijmecsci.2023.108597
• Publication Date: 2023-07-05T00:46:09Z
• Authors: Ee Teng Zhang; Hu Liu; Bing Feng Ng
• Keywords: Bio-Inspired; Energy Absorption; :Mechanical engineering [Engineering]; 02 engineering and technology; 0210 nano-technology

This study focuses on the nature-inspired gradient-based approach to re-designing re-entrant anti-trichiral (REAT) honeycombs through extensive experimental quasi-static compression. Novel perspectives on REAT honeycomb are offered through the introduction of gradient distributions on two critical geometrical parameters, the cylindrical diameter (chiral) and height of the unit cell, rather than the traditional thickness-based gradient approach. Chiral-based gradient approach demonstrated clear advantages in elastic stiffness, specific energy absorption (SEA) and densification strain over uniform REAT structures of constant geometrical parameters. These advantages are exhibited in their extended and constantly increasing quasi-plateau stage, consistent specific energy absorption (SEA) especially during early stages of compression, and most importantly, the ability to maintain a relatively constant energy absorption efficiency that is 25% more than that of the Base uniform REAT structure. Height gradient-based REAT structures, on the other hand, were able to leverage on associations between the negative Poisson's ratio (NPR) effect and height of unit cell to demonstrate notable deformation patterns across various portions of the structure. The present work reveals the performance enhancements through alternative gradient-based approaches over thickness-based gradient approaches and highlighted the differences in NPR between layers as the main driver of compressive collapse apart from the commonly concluded difference in relative density. National Research Foundation (NRF) Submitted/Accepted version The authors would like to thank` the Singapore Centre for 3D Printing, which is supported by the National Research Foundation, Prime Minister’s Office, Singapore under its Medium-Sized Centre funding scheme and the support from Temasek laboratories @ NTU (TLSP22–01).