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Energy harvesting for jet engine monitoring

  • Yilong Wang
  • , Zhengbao Yang*
  • , Pengyu Li
  • , Dengqing Cao*
  • , Wenhu Huang
  • , Daniel J. Inman*
  • *Corresponding author for this work
  • City University of Hong Kong
  • School of Astronautics, Harbin Institute of Technology
  • City University of Hong Kong Shenzhen Research Institute
  • University of Michigan, Ann Arbor

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Article number104853
JournalNano Energy
Volume75
DOIs
StatePublished - Sep 2020
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Batteryless
  • Energy harvesting
  • Piezoelectric
  • Rotational
  • Self-powered
  • Wireless sensor

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