Projects per year
Abstract
Sensors that provide critical information about jet engine performance are widely installed on static components but are rarely found on rotors because of their inaccessibility and extremely high rotation speeds. We present a new monitoring method, integrating energy harvesting technology with wireless sensors to achieve real-time self-powered engine monitoring. Energy harvesters, used to generate power from ambient vibration, are sustainable alternatives to batteries for achieving self-sustained long-term operation of electronic devices. By utilising structural nonlinearity, force amplification mechanism, and the piezoelectric effect, we show a 22.52-g energy harvester capable of high power output (78.87 mW), broad working bandwidth (22.5 Hz), and strong reliability (2100 RPM). Our approach breaks limitations from wired connections that are weighty and vulnerable to failures. We theoretically and experimentally analyse the nonlinear responses and demonstrate the harvester by constantly lighting 112 LEDs and a self-powered wireless sensor system in a jet engine. This work paves a new way for developing future monitoring systems for advanced jet engines and other rotating machinery applications.
Original language | English |
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Article number | 104853 |
Journal | Nano Energy |
Volume | 75 |
Online published | 11 May 2020 |
DOIs | |
Publication status | Published - Sept 2020 |
Research Keywords
- energy harvesting
- rotational
- piezoelectric
- self-powered
- batteryless
- wireless sensor
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Dive into the research topics of 'Energy harvesting for jet engine monitoring'. Together they form a unique fingerprint.Projects
- 1 Finished
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ECS: Piezoelectric Energy Harvesting in the Real Environment with Multiple Excitations
YANG, Z. (Principal Investigator / Project Coordinator)
1/01/20 → 3/07/23
Project: Research
Student theses
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Compressive-mode Piezoelectric Energy Harvesting for Rotors of Aero-Engines
WANG, Y. (Author), YANG, Z. (Supervisor) & HUANG, W. (External Supervisor), 5 Jul 2021Student thesis: Doctoral Thesis