4D-printed shape memory polymer

Modeling and fabrication

Book Chapter (2022)
Author(s)

Reza Noroozi (University of Tehran, Nottingham Trent University)

Ali Zolfagharian (Deakin University)

Mohammad Fotouhi (TU Delft - Materials and Environment)

Mahdi Bodaghi (Nottingham Trent University)

Research Group
Materials and Environment
Copyright
© 2022 Reza Noroozi, Ali Zolfagharian, M. Fotouhi, Mahdi Bodaghi
DOI related publication
https://doi.org/10.1016/B978-0-323-95430-3.00007-5
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Reza Noroozi, Ali Zolfagharian, M. Fotouhi, Mahdi Bodaghi
Research Group
Materials and Environment
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
195-228
ISBN (print)
9780323954310
ISBN (electronic)
9780323954303
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Additive manufacturing (AM), as one of the most powerful manufacturing methods, is fabricating a three-dimensional (3D) structure using computer-aided design (CAD) data by adding material layer by layer. In contrast to traditional manufacturing processes that start from raw block material and remove waste materials, the AM process can demonstrate better aspects such as freedom of design, reduced postprocessing, and waste reduction. With emerging smart materials such as shape memory polymers, the 3D printing technology has upgraded to a technology that is called four-dimensional (4D) printing, in which the fourth dimension expresses time. In this technology, by using active materials, the printed structure can reshape its configuration and also change its mechanical properties in the presence of external stimuli such as temperature, magnetic field, and/or electric field. The fabrication and modeling of 4D-printed structures are considered due to their extensive applications in various areas such as biomedical and robotic. In this chapter, initially based on thermomechanical properties of smart materials, the constitutive modeling is presented for the shape memory feature. Subsequently, the fabrication of 4D-printed elements based on the FDM process is described, and a simple finite element method (FEM) is introduced to predict their self-morphing features. Finally, the fabricated self-morphing and adaptive structures are presented and the proposed model is calibrated based on them. Following model calibration, some smart structures such as grippers, adaptive dynamic structures, and smart composites are presented as case studies, and their behavior under external stimuli is investigated.

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