Bodaghi, M ORCID: https://orcid.org/0000-0002-0707-944X, Serjouei, A ORCID: https://orcid.org/0000-0002-7250-4131, 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. ISSN 0020-7403
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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: | Journal article |
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Publication Title: | International Journal of Mechanical Sciences |
Creators: | Bodaghi, M., Serjouei, A., Zolfagharian, A., Fotouhi, M., Hafizur, R. and Durand, D. |
Publisher: | Elsevier |
Date: | 1 May 2020 |
Volume: | 173 |
ISSN: | 0020-7403 |
Identifiers: | Number Type 10.1016/j.ijmecsci.2020.105451 DOI S0020740319336392 Publisher Item Identifier 1272383 Other |
Divisions: | Schools > School of Science and Technology |
Record created by: | Jill Tomkinson |
Date Added: | 21 Jan 2020 14:00 |
Last Modified: | 13 Mar 2020 10:26 |
URI: | https://irep.ntu.ac.uk/id/eprint/39036 |
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