Four-Dimensional Multistep Vertical Printing for Hygroresponsive Shape Change with Nonplanar Rest-State Geometries
Four-dimensional printing (4DP) via fused deposition modeling has been used to create hygromorphic biocomposite actuators through wood polymer composite (WPC) filaments. The shape-change transformation of the 4DP composite mechanism is preprogrammed by controlling the printing process parameters and the design of the print-path pattern. Until now, most 4DP approaches involving Wood Polymer Composite (WPCs) have focused on planar actuators featuring a bilayer structure composed of laminar layers with distinct material properties. These mechanisms show a laminar initial rest state, presenting as flat objects, and can only achieve a complex three-dimensional shape when subjected to the moisture variations stimulus. The presented research highlights the development of a multistage printing method that expands the capabilities of three-axis printers to enable the 4DP of mechanism with complex nonplanar rest-state geometries. The new technical capabilities of this method are demonstrated here through the creation and testing of novel nonlaminar 4DP mechanisms that harness their unique doubly curved rest-state geometry to achieve kinematic amplification. We expect that this approach can greatly improve the range and complexity of 4DP mechanisms that can be developed using the commonly available three-axis printers.
Authors
- Fabio Bianconi (ORCID: https://orcid.org/0000-0001-6639-0302)
- Marco Filippucci (ORCID: https://orcid.org/0000-0002-1821-5080)
- David Correa (ORCID: https://orcid.org/0000-0002-4399-7897)
- Giulia Pelliccia (ORCID: https://orcid.org/0000-0001-8800-9090)
Institutions
- University of Waterloo (CA)
- University of Southern Denmark (DK)
- University of Perugia (IT)
Publication Details
- Journal
- 3D Printing and Additive Manufacturing
- Published
- 2024-09-30
- DOI
- https://doi.org/10.1089/3dp.2023.0337
- Citations
- 3
- Primary Topic
- Advanced Materials and Mechanics
- Type
- article
- Field-Weighted Citation Impact
- 0.64