3D-Structured Stretchable Strain Sensors for Out-of-Plane Force Detection

© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Bibliographische Detailangaben
Veröffentlicht in:Advanced materials (Deerfield Beach, Fla.). - 1998. - 30(2018), 26 vom: 18. Juni, Seite e1707285
1. Verfasser: Liu, Zhiyuan (VerfasserIn)
Weitere Verfasser: Qi, Dianpeng, Leow, Wan Ru, Yu, Jiancan, Xiloyannnis, Michele, Cappello, Leonardo, Liu, Yaqing, Zhu, Bowen, Jiang, Ying, Chen, Geng, Masia, Lorenzo, Liedberg, Bo, Chen, Xiaodong
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2018
Zugriff auf das übergeordnete Werk:Advanced materials (Deerfield Beach, Fla.)
Schlagworte:Journal Article 3D sensors carbon nanotubes assembly out-of-plane force strain direction recognition stretchable strain sensors
Beschreibung
Zusammenfassung:© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Stretchable strain sensors, as the soft mechanical interface, provide the key mechanical information of the systems for healthcare monitoring, rehabilitation assistance, soft exoskeletal devices, and soft robotics. Stretchable strain sensors based on 2D flat film have been widely developed to monitor the in-plane force applied within the plane where the sensor is placed. However, to comprehensively obtain the mechanical feedback, the capability to detect the out-of-plane force, caused by the interaction outside of the plane where the senor is located, is needed. Herein, a 3D-structured stretchable strain sensor is reported to monitor the out-of-plane force by employing 3D printing in conjunction with out-of-plane capillary force-assisted self-pinning of carbon nanotubes. The 3D-structured sensor possesses large stretchability, multistrain detection, and strain-direction recognition by one single sensor. It is demonstrated that out-of-plane forces induced by the air/fluid flow are reliably monitored and intricate flow details are clearly recorded. The development opens up for the exploration of next-generation 3D stretchable sensors for electronic skin and soft robotics
Beschreibung:Date Completed 01.08.2018
Date Revised 01.10.2020
published: Print-Electronic
Citation Status PubMed-not-MEDLINE
ISSN:1521-4095
DOI:10.1002/adma.201707285