Control-based 4D printing: adaptive 4D-printed systems

Zolfagharian, A., Kaynak, A., Bodaghi, M. ORCID: 0000-0002-0707-944X, Kouzani, A.Z., Gharaie, S. and Nahavandi, S., 2020. Control-based 4D printing: adaptive 4D-printed systems. Applied Sciences, 10 (9): 3020. ISSN 2076-3417

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Abstract

Building on the recent progress of four-dimensional (4D) printing to produce dynamic structures, this study aimed to bring this technology to the next level by introducing control-based 4D printing to develop adaptive 4D-printed systems with highly versatile multi-disciplinary applications, including medicine, in the form of assisted soft robots, smart textiles as wearable electronics and other industries such as agriculture and microfluidics. This study introduced and analysed adaptive 4D-printed systems with an advanced manufacturing approach for developing stimuli-responsive constructs that organically adapted to environmental dynamic situations and uncertainties as nature does. The adaptive 4D-printed systems incorporated synergic integration of three-dimensional (3D)-printed sensors into 4D-printing and control units, which could be assembled and programmed to transform their shapes based on the assigned tasks and environmental stimuli. This paper demonstrates the adaptivity of these systems via a combination of proprioceptive sensory feedback, modeling and controllers, as well as the challenges and future opportunities they present.

Item Type: Journal article
Publication Title: Applied Sciences
Creators: Zolfagharian, A., Kaynak, A., Bodaghi, M., Kouzani, A.Z., Gharaie, S. and Nahavandi, S.
Publisher: MDPI AG
Date: 2020
Volume: 10
Number: 9
ISSN: 2076-3417
Identifiers:
NumberType
10.3390/app10093020DOI
1318605Other
Rights: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Divisions: Schools > School of Science and Technology
Depositing User: Linda Sullivan
Date Added: 28 Apr 2020 08:12
Last Modified: 20 May 2020 12:50
URI: http://irep.ntu.ac.uk/id/eprint/39748

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