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Optimization of Array of Tapered Piezoelectric Energy Harvester

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper addresses two issues of piezoelectric harvesters, which are the narrow bandwidth and the low power at ultra-low frequencies through the optimization of two proposed designs of arrays, one consisting of rectangular beams and the other of tapered beams using finite element analysis using COMSOL Multyphisics6.2. To ensure a reliable results a comparison between the natural frequency obtained from the finite element method and that derived through the analytical model stated in literature. It was found that the tapered design gave peak power almost 10 times the rectangular one with a value of 0.67 mW at a natural frequency of 3.22 Hz for the tapered harvester and 0.073mW at a resonant frequency of 3.2068 Hz, competing with this value with more complex designs of harvesters.

Original languageEnglish
Title of host publication2025 International Conference on Future Telecommunications and Artificial Intelligence, IC-FTAI 2025 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331558420
DOIs
StatePublished - 2025
Event2025 International Conference on Future Telecommunications and Artificial Intelligence, IC-FTAI 2025 - Alexandria, Egypt
Duration: 24 Nov 202527 Nov 2025

Publication series

Name2025 International Conference on Future Telecommunications and Artificial Intelligence, IC-FTAI 2025 - Proceedings

Conference

Conference2025 International Conference on Future Telecommunications and Artificial Intelligence, IC-FTAI 2025
Country/TerritoryEgypt
CityAlexandria
Period24/11/2527/11/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

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

  • COMSOL simulation
  • finite element analysis
  • piezoelectric energy harvesters
  • sustainable energy
  • tapered structure

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Safety, Risk, Reliability and Quality
  • Radiology Nuclear Medicine and imaging
  • Instrumentation

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