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Wide Bandwidth Vibration Energy Harvester with Embedded Transverse Movable Mass.

Nathan Jackson1, Luis A Rodriguez1, Rahul Adhikari1

  • 1Center for High Technology Materials and Mechanical Engineering Department, University of New Mexico, Albuquerque, NM 87106, USA.

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Summary
This summary is machine-generated.

This study introduces a novel vibration energy harvester with a movable mass to significantly broaden its operational frequency range. This innovation enhances effectiveness for Internet of Things applications by increasing bandwidth from 1.5 Hz to over 40 Hz.

Keywords:
MEMSbandwidthcantileverenergy harvesterpiezoelectric material

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Area of Science:

  • Energy Harvesting
  • Mechanical Engineering
  • Non-linear Dynamics

Background:

  • Vibration energy harvesters (VEHs) face limited bandwidth, hindering Internet of Things (IoT) applications.
  • A wider operational frequency range is crucial for efficient energy harvesting in dynamic environments.

Purpose of the Study:

  • To present a novel method for significantly increasing the bandwidth of cantilever-based vibration energy harvesters.
  • To investigate the impact of an embedded transverse out-of-plane movable mass on harvester performance.

Main Methods:

  • Experimental investigation of a cantilever beam with an embedded movable mass (solid sphere) within a stationary proof mass.
  • The movable mass interacts dynamically, altering the system's resonant frequency and effective mass.
  • Analysis of frequency and power output variations based on acceleration, movable mass properties (amount, density, size).

Main Results:

  • Bandwidth was substantially increased from 1.5 Hz to over 40 Hz.
  • High power output was maintained alongside the increased bandwidth.
  • Movable mass density impacts performance: dense masses suit high acceleration/low frequency, while lower density masses are better for low acceleration.

Conclusions:

  • The embedded transverse movable mass effectively broadens the operational bandwidth of vibration energy harvesters.
  • This approach offers a viable solution for enhancing VEH performance in diverse IoT applications.
  • Optimizing movable mass characteristics allows tuning for specific acceleration and frequency requirements.