Advances in Energy Harvesting and Wearable Sensors: Powering the Future of Smart Technologies

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "B:Biology and Biomedicine".

Deadline for manuscript submissions: closed (28 February 2025) | Viewed by 1334

Special Issue Editor


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Guest Editor
Department of Mechanical Engineering, University of Texas at Tyler, 3900 University Blvd., Tyler, TX 75799, USA
Interests: micro-electromechanical systems (MEMSs); vibrations; the linear and nonlinear dynamics of mechanical systems; solid mechanics and biomechanics; energy-harvesting systems; smart materials and orthopedic devices; novel sensor systems for human and animal health monitoring; wearable sensors; smart materials; next-generation diagnostic tools
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Special Issue Information

Dear Colleagues,

This Special Issue explores cutting-edge developments in the field of energy harvesting and wearable sensor technologies. It delves into the exciting progress made in capturing and converting energy from ambient sources to power wearable devices. These advancements have the potential to revolutionize various industries, including healthcare, fitness, and smart devices. This Special Issue showcases how these innovative technologies are paving the way for a future where smart technologies can operate efficiently and sustainably, enhancing our lives and empowering the growth of interconnected smart ecosystems.

This special issue aims to explore the latest advancements, challenges, and future trends in the field of energy harvesting and wearable sensors, with a specific focus on their role in powering smart technologies. The potential topics of interest include but are not limited to:

  • Energy harvesting techniques and technologies for wearable devices.
  • Novel materials and designs for energy-efficient sensors.
  • Energy storage and management systems for wearable electronics.
  • Wireless power transfer and charging technologies for wearables.
  • Integration of energy harvesting and storage with wearable sensors.
  • Energy-efficient algorithms and data processing techniques for wearables.
  • Applications of energy harvesting and wearable sensors in healthcare, sports, environmental monitoring, etc.

Dr. Alwathiqbellah Ibrahim
Guest Editor

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Keywords

  • energy harvesting
  • wearable sensors
  • self-powered
  • future applications
  • smart sensors

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Published Papers (1 paper)

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Research

18 pages, 13776 KiB  
Article
Dynamic Response and Energy Conversion of Coupled Cantilevers with Dual Piezoelectric–Triboelectric Harvesting Mechanisms
by Mohammad Alghamaz, Leila Donyaparastlivari and Alwathiqbellah Ibrahim
Micromachines 2025, 16(2), 182; https://doi.org/10.3390/mi16020182 - 31 Jan 2025
Viewed by 889
Abstract
This study presents a Hybrid Piezoelectric–Triboelectric Energy Harvester (HPTEH) composed of two coupled cantilever beams, designed to enhance energy generation and broaden bandwidth by combining piezoelectric and triboelectric mechanisms. A theoretical 2-DOF lumped model was developed and validated with experimental results, demonstrating good [...] Read more.
This study presents a Hybrid Piezoelectric–Triboelectric Energy Harvester (HPTEH) composed of two coupled cantilever beams, designed to enhance energy generation and broaden bandwidth by combining piezoelectric and triboelectric mechanisms. A theoretical 2-DOF lumped model was developed and validated with experimental results, demonstrating good agreement. Experimental findings reveal that Beam I exhibits a softening effect, with resonance frequencies shifting to lower values and increased displacement amplitudes under higher excitation levels due to material nonlinearities and strain-induced voltage generation. Beam II, in contrast, displays a hardening effect, with resonance frequencies increasing as triboelectric interactions enhance stiffness at higher excitation levels. Coupling dynamics reveal asymmetry, with Beam I significantly influencing Beam II in the higher frequency range, while Beam II’s impact on Beam I remains minimal. Phase portraits highlight the dynamic coupling and energy transfer between the beams, particularly near their natural frequencies of 18.6 Hz and 40.6 Hz, demonstrating complex interactions and energy exchange across a broad frequency range. The synergistic interplay between triboelectric and piezoelectric mechanisms allows the HPTEH to efficiently harvest energy across a wider spectrum, underscoring its potential for advanced energy applications in diverse vibrational environments. Full article
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