Multimaterial 4D printing with tunable bending model

Zolfagharian, A, Jarrah, HR, Dos Santos Xavier, M, Rolfe, B and Bodaghi, M ORCID: https://orcid.org/0000-0002-0707-944X, 2023. Multimaterial 4D printing with tunable bending model. Smart Materials and Structures. ISSN 0964-1726

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Abstract

Shape-memory polymer-based functional structures may now be produced more efficiently via four-dimensional (4D) printing, benefiting from the recent advances in multi-material three-dimensional (3D) printing technologies. Composite material design using 4D printing has opened new possibilities for customizing the shape memory property of smart polymers. This work studies a design strategy to harness desirable morphing by 4D printing multimaterial composites with a focus on the detailed finite element (FE) procedure, experimental results, and soft robotic application. Composites with bilayer laminates consisting of a shape-memory polymer (SMP) and a flexible elastomer are constructed with variable thickness ratios to control the self-bending of the composite. Finite element simulations are used to understand the underlying processes of composite materials and to generate accurate predictions for the experimental results, which reduces cost and development time. The application of 4D printing and multi-material composite programming is demonstrated with a soft robotic gripper for manipulating fragile objects.

Item Type:	Journal article
Publication Title:	Smart Materials and Structures
Creators:	Zolfagharian, A., Jarrah, H.R., Dos Santos Xavier, M., Rolfe, B. and Bodaghi, M.
Publisher:	IOP Publishing
Date:	10 April 2023
ISSN:	0964-1726
Identifiers:	Number Type 10.1088/1361-665x/accba8 DOI 1751309 Other
Rights:	© 2023 The Author(s). Published by IOP Publishing Ltd. As the Version of Record of this article is going to be / has been published on a gold open access basis under a CC BY 4.0 licence, this Accepted Manuscript is available for reuse under a CC BY 4.0 licence immediately.
Divisions:	Schools > School of Science and Technology
Record created by:	Laura Ward
Date Added:	17 Apr 2023 11:11
Last Modified:	17 Apr 2023 11:11
URI:	https://irep.ntu.ac.uk/id/eprint/48756

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