Black, Samuel, Tzagiollari, Antzela, Mondal, Subrata, Dunne, Nicholas and MacManus, David B. (2023). Mechanical behaviour of gel-filled additively-manufactured lattice structures under quasi-static compressive loading. Materials Today Communications, 35 ,
Abstract
The worldwide incidence of traumatic brain injuries (TBIs) is on the rise. Helmets are one of the best technologies available to prevent TBIs from impacts to the head during recreational and occupational activities. The most commonly used material for helmet liners is expanded polystyrene (EPS) foam. However, while EPS can reduce linear accelerations from impacts, it does not perform as well at reducing rotational accelerations which are considered to be the most harmful to brain tissue. Recently, prismatic lattice structures have shown promise in reducing these harmful rotational accelerations. Here, a new structure for energy dissipation applications is presented that is hypothesised to improve the energy dissipation of the prismatic lattice by filling it with a gel. To test this hypothesis, 3D printed prismatic lattices fabricated from PLA, PET-G, and ABS were filled with 5 wt% and 10 wt% agar and tested to failure under quasi-static compression. Compared to the unfilled control group, it was found that PLA lattices filled with 10 wt% agar had the best performance demonstrating a 46.1% increase in energy absorbed and 57.4% increase in displacement to failure. These results demonstrate the superior energy dissipation properties of gel-filled prismatic lattices compared to unfilled prismatic lattices during quasi-static compression.
Publication DOI: | https://doi.org/10.1016/j.mtcomm.2023.106164 |
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Divisions: | College of Engineering & Physical Sciences College of Engineering & Physical Sciences > School of Engineering and Technology Aston University (General) |
Funding Information: | The authors would like to thank Mr. Liam Domican for his assistance with 3D printing of the lattices, and Mr. Christopher Crouch for his assistance with compression testing of the samples. Subrata Mondal is funded by the European Union’s Horizon 2020 Rese |
Additional Information: | Copyright © 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license: (https://creativecommons.org/licenses/by/4.0/). |
Publication ISSN: | 2352-4928 |
Last Modified: | 16 Sep 2025 07:16 |
Date Deposited: | 15 Sep 2025 11:22 |
Full Text Link: | |
Related URLs: |
https://www.sci ... 352492823008553
(Publisher URL) |
PURE Output Type: | Article |
Published Date: | 2023-06 |
Published Online Date: | 2023-05-09 |
Accepted Date: | 2023-05-08 |
Authors: |
Black, Samuel
Tzagiollari, Antzela Mondal, Subrata ( ![]() Dunne, Nicholas MacManus, David B. |