Control-Based 4D Printing: Adaptive 4D-Printed Systems
Source abstract
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.
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Research context
OpenAlex topics: Soft Robotics and Applications · Advanced Materials and Mechanics · Modular Robots and Swarm Intelligence
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Engineering, Deakin University, Geelong 3216, Australia
Department of Engineering, School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK
Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Geelong 3216, Australia
References (100+)
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