Reversible energy absorbing meta-sandwiches by 4D FDM printing

Bodaghi, M., Serjouei, A., Zolfagharian, A., Fotouhi, M. , Hafizur, R. and Durand, D. (2020) Reversible energy absorbing meta-sandwiches by 4D FDM printing. International Journal of Mechanical Sciences, 173, 105451. (doi: 10.1016/j.ijmecsci.2020.105451)

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Abstract

The aim of this paper is to introduce dual-material auxetic meta-sandwiches by four-dimensional (4D) printing technology for reversible energy absorption applications. The meta-sandwiches are developed based on an understanding of hyper-elastic feature of soft polymers and elasto-plastic behaviors of shape memory polymers and cold programming derived from theory and experiments. Dual-material lattice-based meta-structures with different combinations of soft and hard components are fabricated by 4D printing fused deposition modelling technology. The feasibility and performance of reversible dual-material meta-structures are assessed experimentally and numerically. Computational models for the meta-structures are developed and verified by the experiments. Research trials show that the dual-material auxetic designs are capable of generating a range of non-linear stiffness as per the requirement of energy absorbing applications. It is found that the meta-structures with hyper-elastic and/or elasto-plastic features dissipate energy and exhibit mechanical hysteresis characterized by non-coincident compressive loading-unloading curves. Mechanical hysteresis can be achieved by leveraging elasto-plasticity and snap-through-like mechanical instability through compression. Experiments also reveal that the mechanically induced plastic deformation and dissipation processes are fully reversible by simply heating. The material-structural model, concepts and results provided in this paper are expected to be instrumental towards 4D printing tunable meta-sandwiches for reversible energy absorption applications.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Fotouhi, Dr Mohammad
Authors: Bodaghi, M., Serjouei, A., Zolfagharian, A., Fotouhi, M., Hafizur, R., and Durand, D.
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
Journal Name:International Journal of Mechanical Sciences
Publisher:Elsevier
ISSN:0020-7403
ISSN (Online):1879-2162
Published Online:15 January 2020
Copyright Holders:Copyright © 2020 Elsevier Ltd.
First Published:First published in International Journal of Mechanical Sciences 173: 105451
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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