Detailed Information

Cited 6 time in webofscience Cited 0 time in scopus
Metadata Downloads

Patterned Carbon Nanotube Bundles as Stretchable Strain Sensors for Human Motion Detection

Authors
KWAN HUN KIMJAEYONGLEEEunhwan JoSANGJUN SIMJongbaeg Kim
Issue Date
Nov-2020
Publisher
ACS Publications
Keywords
stretchable electronics; strain sensors; carbon nanotubes; tunable sensitivity; human motion detection
Citation
ACS APPLIED NANO MATERIALS, v.3, no.11, pp.11,408 - 11,415
Journal Title
ACS APPLIED NANO MATERIALS
Volume
3
Number
11
Start Page
11,408
End Page
11,415
URI
https://yscholarhub.yonsei.ac.kr/handle/2021.sw.yonsei/5258
DOI
10.1021/acsanm.0c02494
ISSN
2574-0970
Abstract
Although numerous studies have been conducted to develop wearable strain sensors with high sensitivity and a wide detection range, developing strain sensors with tunable sensitivity for practical purposes remains challenging. Strain sensors with tunable sensitivity have great potential in applications such as human motion detection and health monitoring. This paper introduces strain sensors that adopt zigzag-patterned carbon nanotube (CNT) bundle arrays embedded in a polymer matrix. Owing to the zigzag pattern, the sensors exhibited an extensive detection range up to 500% strain and high sensitivity (gauge factor of 64.08). In this study, the CNT bundle array synthesized on a Si wafer was transferred to a silicone elastomer substrate using a roll-transfer technique, forming a sheet-like structure of overlapped CNT bundles. The separation occurring between the CNT bundles with the applied strain followed the shape of the zigzag pattern. The sensors exhibited excellent repeatability and durability with negligible hysteresis behavior, and their sensitivity was tunable based on the pattern design. Furthermore, this study investigated the sensing mechanism of the sensors and their potential use in wearable electronics
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Mechanical Engineering > 1. Journal Articles

qrcode

Items in Scholar Hub are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Sim, Sangjun photo

Sim, Sangjun
College of Engineering (Mechanical Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE