Optimal design of piezoelectric materials for maximal energy harvesting

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Authors
Nelson, Russell J.
Subjects
piezoelectric power optimization
nearly orthogonal and balanced Latin hypercube design
factorial sampling
nearly orthogonal and balanced Latin hypercube design iterative method
robustness analysis
Advisors
Zhou, Hong
Date of Issue
2015-06
Date
Jun-15
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
The military’s dependence on fossil fuels for electric power production in isolated settings is both logistically and monetarily expen-sive. Currently, the Department of Defense is actively seeking alternative methods to produce electricity, thus decreasing dependence on fossil fuels and increasing combat power.We believe piezoelectric generators have the ability to contribute to military applications of alternative electrical power generation in isolated and austere conditions. In this paper, we use three and six variable mathemat-ical models to analyze piezoelectric generator power generation capabilities. Using mk factorial sampling, nearly orthogonal and balanced Latin hypercube (NOBLH) design, and NOBLH iterative methods, we find optimal solutions to maximize piezoelectric gen-erator power output. We further analyze our optimal results using robustness analysis techniques to determine the sensitivity of our models to variable precision. With our results, we provide analysts and engineers the optimal designs involving material parameters in the piezoelectric generator, as well as the generator’s environment, in order to maximize electric output.
Type
Thesis
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Department
Applied Mathematics
Applied Mathematics
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Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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