Journal
CIRP ANNALS-MANUFACTURING TECHNOLOGY
Volume 71, Issue 1, Pages 473-476Publisher
ELSEVIER
DOI: 10.1016/j.cirp.2022.04.077
Keywords
Laser-beam machining (LBM); Surface modification; Strain
Funding
- National Research Foundation of Korea [2012R1A3A1050386, 2020R1A2C2102338, 2021R1A4A 1031660]
- Korea Forest Service [2020229C10-2022-AC01]
- Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry (IPET) [321077-2]
- Basic Research Program of Korea Institute of Machinery and Materials [NK236C]
- Korea Forestry Promotion Institute (KOFPI) [2020229C10-2022-AC01] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
- National Research Council of Science & Technology (NST), Republic of Korea [NK236C] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
- National Research Foundation of Korea [2020R1A2C2102338] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
Ask authors/readers for more resources
This research converts Kevlar textiles into laser-induced graphene using ultrafast laser pulses, achieving high-speed strain sensors. These sensors have fast response time and high sensitivity, enabling real-time monitoring of human heartbeats, articular motions, and composite dynamics.
The high-speed detection of strain distribution over free-form surfaces can provide invaluable information for smart maintenance, structural monitoring, and advanced healthcare. However, current strain sensors are not sufficiently fast, and their installation is troublesome. Textiles are widely used as base materials for composites, so textile strain sensors can be easily embedded into general surfaces. Here, we report the direct-laser-conversion of Kevlar textiles to laser-induced-graphene via ultrafast laser pulses for realizing fabric strain sensors. This sensor provides a fast response time of 18 ms with high sensitivity, so was applied to real-time detection of human heartbeats, articular motions, and composite dynamics. (C) 2022 CIRP. Published by Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
