Self-Powered Carbon Nanotube Yarn for Acceleration Sensor Application

Bum Joon Kim, Yongwoo Jang, Ji Hwan Moon, Ray H. Baughman, Seon Jeong Kim

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Accelerometers are indispensable for detecting accelerating forces in automotive electronic systems. Although several accelerometers have been developed, they are still unstable for vehicle dynamics' applications in the low-frequency range (0-20 Hz). Here, we report a novel type of accelerometer based on a coiled carbon nanotube (CNT) yarn as a self-powered and low-frequency range-covered acceleration sensor. The proposed sensor is designed in a compact fiber-like structure for practical applications. Open-circuit voltage (OCV) signals are consistently generated during the stretch-and-release process of the coiled CNT yarn by the applied sinusoidal accelerations, and the OCV changes increase linearly with increasing acceleration from 4.84 to 48.37 m/s2. Our accelerometer exhibits excellent dynamic sensing performance in the low-frequency range compared with commercial accelerometers. In an application as a CNT yarn device configured with a mass load, the OCV change is linearly proportional to the applied acceleration. When our accelerometer is attached to a seatbelt in a vehicle, it generates OCV changes from the movement of the body mass underlying a certain acceleration change. Given its excellent sensing performance, the CNT yarn acceleration sensor could further be developed for practical applications, such as seatbelts and car seats with fabric and textile.

Original languageEnglish
Article number9027130
Pages (from-to)2676-2683
Number of pages8
JournalIEEE Transactions on Industrial Electronics
Volume68
Issue number3
DOIs
StatePublished - 2021 Mar

Keywords

  • Acceleration
  • carbon nanotube (CNT)
  • self-power
  • sensor
  • yarn

Fingerprint

Dive into the research topics of 'Self-Powered Carbon Nanotube Yarn for Acceleration Sensor Application'. Together they form a unique fingerprint.

Cite this