Yang Li, Xinyu Yang, Jianyang Li, Qingping Liu, Bingqian Li, Kunyang Wang
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引用次数: 0
Abstract
4D printed smart materials is mostly relying on thermal stimulation to actuate, limiting their widely application requiring precise and localized control of the deformations. Most existing strategies for achieving localized control rely on heterogeneous material systems and structural design, thereby increasing design and manufacturing complexity. Here, we endow localized electrothermal, actuation, and sensing properties in electrically-driven soft actuator through parameter-encoded 4D printing. We analyzed the effects of printing parameters on shape memory properties and conductivity, and then explored the multi-directional sensing performance of the 4D printed composites. We demonstrated an integrated actuator-sensor device capable of both shape recovery and perceiving its own position and obstacles simultaneously. Moreover, it can adjust its sensing characteristics through temporary shape programming to adapt to different application scenarios. This study achieves integrated and localized actuation-sensing without the need for multi-material systems and intricate structural designs, offering an efficient solution for the intelligent and lightweight design in the fields of soft robotics, biomedical applications, and aerospace.
期刊介绍:
The Journal of Bionic Engineering (JBE) is a peer-reviewed journal that publishes original research papers and reviews that apply the knowledge learned from nature and biological systems to solve concrete engineering problems. The topics that JBE covers include but are not limited to:
Mechanisms, kinematical mechanics and control of animal locomotion, development of mobile robots with walking (running and crawling), swimming or flying abilities inspired by animal locomotion.
Structures, morphologies, composition and physical properties of natural and biomaterials; fabrication of new materials mimicking the properties and functions of natural and biomaterials.
Biomedical materials, artificial organs and tissue engineering for medical applications; rehabilitation equipment and devices.
Development of bioinspired computation methods and artificial intelligence for engineering applications.