Mechanical Engineering ETDs

Publication Date

Fall 12-13-2025

Abstract

This research presents a method for real-time frequency tuning of piezoelectric kinetic energy harvesters through system-mass adjustment. Custom 3D-printed proof masses with cavity arrays were used to redistribute solid or liquid mass, enabling controlled modification of resonant frequency. Experimental studies using microparticles and liquids—including water, silicone oil, and sodium polytungstate—demonstrated an achievable tuning range of 115.27 Hz with sub-hertz resolution (< 0.1 Hz), confirming precise and repeatable frequency control. Finite-element modeling guided design optimization, while a microfluidic channel system enabled automated liquid filling for real-time operation. A MATLAB-based EH_Tuning application was developed to visualize and predict frequency responses. The combined computational and experimental results establish a scalable, energy-efficient approach for adaptive piezoelectric harvesters suited for Internet of Things and wireless sensor network applications.

Keywords

MEMS, Kinetic Energy Harvesters, Frequency tuning, Microfluidic channel, Piezoelectricity.

Degree Name

Mechanical Engineering

Level of Degree

Doctoral

Department Name

Mechanical Engineering

First Committee Member (Chair)

Dr. Nathan Jackson

Second Committee Member

Dr. Matthias Pleil

Third Committee Member

Dr. Fernando Moreu

Fourth Committee Member

Dr. Yu-Lin Shen

Document Type

Dissertation

Language

English

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