Litcius/Paper detail

Self-Powered Carbon Nanotube Yarn for Acceleration Sensor Application

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

2020IEEE Transactions on Industrial Electronics19 citationsDOI

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/s <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> . 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.

Topics & Concepts

AccelerometerAccelerationYarnRange (aeronautics)AcousticsElectrical engineeringComputer scienceMaterials scienceEngineeringAutomotive engineeringPhysicsAerospace engineeringMechanical engineeringClassical mechanicsOperating systemAdvanced Sensor and Energy Harvesting MaterialsInnovative Energy Harvesting TechnologiesMuscle activation and electromyography studies