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research-article

Dynamics of Transition Regime in Bi-stable Vibration Energy Harvesters

[+] Author and Article Information
Alwathiqbellah Ibrahim

Graduate Research Assistant Department of Mechanical Engineering Binghamton University 4400 Vestal Parkway E. Binghamton, NY 13902
aibrahi4@binghamton.edu

Shahrzad Towfighian

Assistant Professor Department of Mechanical Engineering Binghamton University 4400 Vestal Parkway E. Binghamton, NY 13902
stowfigh@binghamton.edu

Mohammad Younis

Associate Professor Department of Mechanical Engineering State University of New York at Binghamton 4400 Vestal Parkway E. Binghamton, NY 13902
myounis@binghamton.edu
King Abdullah University of Science and Technology 23955-6900 Thuwal, KSA
mohammad.younis@kaust.edu.sa

1Corresponding author.

ASME doi:10.1115/1.4036503 History: Received September 09, 2016; Revised April 13, 2017

Abstract

Vibration energy harvesting can be an effective method for scavenging wasted mechanical energy for use by wireless sensors that have limited battery life. Two major goals in designing energy harvesters are enhancing the power scavenged at low frequency and improving efficiency by increasing the frequency bandwidth. To achieve these goals, we derived a magneto-elastic beam operated at the transition between mono- and bi-stable regions. By improving the mathematical model of the interaction of magnetic force and beam dynamics, we obtained a precise prediction of natural frequencies as the distance of magnets varies. Using the shooting technique for the improved model, we present a fundamental understanding of interesting combined softening and hardening responses that happen at the transition between the two regimes. The transition regime is proposed as the optimal region for energy conversion in terms of frequency bandwidth and output voltage. Using this technique, low frequency vibration energy harvesting at around 17 Hz was possible. The theoretical results were in good agreement with the experimental results. The target application is to power wildlife bio-logging devices from bird flights that have consistent high power density around 16 Hz [1].

Copyright (c) 2017 by ASME
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