Harvesting Mechanical Vibrations using a Frequency
Up-converter
Thesis by
Esraa Fakeih
In Partial Fulfillment of the Requirements
For the Degree of
Master of Science
King Abdullah University of Science and Technology
Thuwal, Kingdom of Saudi Arabia
April, 2020
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EXAMINATION COMMITTEE PAGE
The thesis of Esraa Fakeih is approved by the examination committee.
Committee Chairperson: Prof. Khaled Salama Committee Members: Prof. Mohammad Younis, Prof. Shehab Ahmed
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© April, 2020
Esraa Fakeih
All Rights Reserved 4
ABSTRACT
Voltage Enhancer Mechanical Energy Harvester
Esraa Fakeih
With the rise of wireless sensor networks and the internet of things, many sensors are being developed to help us monitor our environment. Sensor applications from marine animal tracking to implantable healthcare monitoring require small and non-invasive methods of powering, for which purpose traditional batteries are considered too bulky and unreasonable. If appropriately designed, energy harvesting devices can be a viable solution. Solar and wind energy are good candidates of power but require constant exposure to their sources, which may not be feasible for in-vivo and underwater applications. Mechanical energy, however, is available underwater (the motion of the waves) and inside our bodies (the beating of the heart). These vibrations are normally low in frequency and amplitude, thus resulting in a low voltage once converted into electrical signals using conventional mechanical harvesters. These mechanical harvesters also suffer from narrow bandwidth, which limits their efficient operation to a small range of frequencies. Thus, there is a need for a mechanical energy harvester to convert mechanical energy into electrical energy with enhanced output voltage and for a wide range of frequencies. In this thesis, a new mechanical harvester is introduced, and two different methods of rectifying it are investigated. 5
The designed harvester enhances the output voltage and extends the bandwidth of operation using a mechanical frequency up-convertor. This is implemented using magnetic forces to convert low-frequency vibrations to high-frequency pulses with the help of a piezoelectric material to generate high output voltage. The results show a 48.9% increase in the output voltage at 12.2Hz at an acceleration of 1.0g, and a bandwidth increase from 0.23Hz to 11.4Hz.
For the rectification, mechanical rectifiers are discussed, which would obviate the need for electrical rectification, thus preventing the losses normally caused by the threshold voltage of electronics. Two designs of mechanical rectifiers are investigated and implemented on the frequency up-converter: a static rectifier and a rotating rectifier. The results show a voltage rectification, which required a sacrifice in the bandwidth and boosted voltage.
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ACKNOWLEDGEMENTS
First, I would like to thank my committee chair and supervisor Prof. Khaled Salama for his constant guidance and support during this research. It took longer than expected, and I am very appreciative for his patience through it all.
I would also like to thank my committee members, Prof. Shehab Ahmed and Prof.
Mohammad Younis, for their support.
This research would have been much more difficult without the constant help and advice of my advisor, Abdullah Almansouri, and for that I am very grateful.
My appreciation also goes to my friends, both inside and outside King Abdullah University of Science and Technology, for continuously encouraging me to keep going during challenging times.
Finally, my heartfelt gratitude is extended to my parents and siblings for always being there for me whenever I needed them and for supporting me throughout this journey.
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TABLE OF CONTENTS
EXAMINATION COMMITTEE PAGE ...... 2 COPYRIGHT PAGE ...... 3 ABSTRACT ...... 4 ACKNOWLEDGEMENTS ...... 6 TABLE OF CONTENTS ...... 7 LIST OF ABBREVIATIONS ...... 9 LIST OF SYMBOLS ...... 10 LIST OF ILLUSTRATIONS ...... 11 LIST OF TABLES ...... 12 INTRODUCTION ...... 13
1.1 ENERGY HARVESTING ...... 13 1.2 PROBLEM STATEMENT ...... 15 1.3 OBJECTIVES ...... 16 BACKGROUND: VIBRATIONAL ENERGY HARVESTING ...... 17
2.1 SYSTEM ARCHITECTURE ...... 17 2.2 METHODS OF HARVESTING: A LITERATURE REVIEW ...... 20 2.2.1 Voltage Amplifiers ...... 20 2.2.2 Bandwidth Amplifiers ...... 21 2.2.3 Mechanical Rectifiers ...... 22 PROPOSED SYSTEM I: VOLTAGE AND BANDWIDTH ENHANCER ...... 25
3.1 SYSTEM DESIGN ...... 25 3.2 WORKING PRINCIPLE ...... 30 3.3 FABRICATION ...... 32 3.4 RESULTS ...... 33 PROPOSED SYSTEM II: MECHANICAL RECTIFIER ...... 40
4.1 MODEL I: STATIC RECTIFIER ...... 43 4.1.1 System Design ...... 43 4.1.2 Fabrication ...... 45 4.1.3 Results ...... 46 4.2 MODEL II: ROTATING RECTIFIER ...... 48 4.2.1 System Design ...... 48 4.2.2 Fabrication ...... 49 4.2.3 Results ...... 50 4.3 SUMMARY ...... 52 8
CONCLUSION ...... 54 FUTURE WORK ...... 57 BIBLIOGRAPHY ...... 60
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LIST OF ABBREVIATIONS
AI Artificial intelligence
HF high-frequency
LF low-frequency
MEMS micro-electromechanical systems
PLA polylactic acid
PVDF polyvinylidene fluoride
PZT lead zirconate titanate
RMS root mean square
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LIST OF SYMBOLS
ω The angular frequency ρ The density of a material π The ratio of any circle’s circumference to its diameter
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LIST OF ILLUSTRATIONS
Figure 2.1 Oscillating cantilever...... 17 Figure 2.2 Piezoelectric voltage generation...... 19 Figure 3.1 Single beam energy harvester ...... 25 Figure 3.2 Voltage and bandwidth of single beam energy harvester at 12.2Hz ...... 26 Figure 3.3 Proposed system...... 27 Figure 3.4 Voltage generation...... 30 Figure 3.5 Working principle of the system...... 31 Figure 3.6 Fabricated system...... 32 Figure 3.7 Setup of the experimental testing...... 33 Figure 3.8 Voltage vs acceleration of vibrations...... 34 Figure 3.9 COMSOL simulated beam (13.3Hz) ...... 35 Figure 3.10 Output voltage of the system at 11.5Hz...... 36 Figure 3.11 Description of results...... 37 Figure 3.12 Peak voltage and bandwidth of single beam vs proposed system...... 37 Figure 4.1 Simple harmonic motion...... 41 Figure 4.2 Motion of the HF beam...... 42 Figure 4.3 Current generated compared to the displacement...... 43 Figure 4.4 Design of the static rectifier...... 44 Figure 4.5 Rectified current based on gap...... 44 Figure 4.6 Fabricated static rectifier...... 45 Figure 4.7 Results of static rectifier...... 46 Figure 4.8 3D model of the rotating rectifier...... 48 Figure 4.9 Working mechanism of the rotating rectifier...... 49 Figure 4.10 Fabricated rotating rectifier...... 49 Figure 4.11 Results of rotating rectifier...... 50 Figure 4.12 Explanation of the leakage voltage...... 51 Figure 4.13 Bending of beam in relation to switch displacement...... 51 Figure 6.1 TPU95 (left) and PLA (right) printed LF beams...... 57
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LIST OF TABLES
Table 1.1 (Power Densities of Typical Energy Harvesters) ...... 14 Table 1.2 (Environmental Vibrations) ...... 15 Table 2.1 (Summary of Published Work) ...... 23 Table 3.1 (Voltage and Bandwidth Comparison) ...... 38 Table 3.2 (Summary of all Work) ...... 39 Table 4.1 (Results of the Static Rectifier) ...... 47 Table 4.3 (Comparing Rectifiers) ...... 52
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Chapter 1
Introduction
1.1 Energy Harvesting
The problem of power is becoming more of an issue than ever. More devices are being integrated into our environment every day, from artificial intelligence (AI) assistants such as the well-known Amazon Alexa, to facial recognition security systems and biomedical electronic pacemakers. As diverse as these devices are, they all share one thing in common: They require power to function. Some devices can be connected to external power sources through chargers, such as AI assistants, whereas others have batteries that can be replaced when needed [1, 2]. These types of devices can be powered without difficulty, as they do not have troublesome restrictions, such as size limits or challenging locations that limit their access to power. This, however, is not the case for all devices.
Consider an underwater environmental monitoring system for aquatic animals, for example, the anglerfish. Some species, such as the Lophius budegassa and L. piscatorius, live between 800 m and 2,600 m below sea level [3]. Creating a device that is meant to stay in the deep sea but runs on replaceable batteries is impractical, accessing the device and replacing the batteries would be challenging . Another example would be detecting and analyzing seismic waves from volcanic activity. It can be dangerous and risky to build a device that requires constant maintenance, especially when studying active or underwater volcanos. The same also applies to detecting unforeseen mining disasters [4,
5]. 14
These examples show that using the conventional method of power is not always the ideal method, and so a different approach must be considered. An alternative solution that is already being implemented in multiple cases is the use of energy harvesting.
Energy harvesting refers to the collection of renewable power from resources that are readily available in the environment. The table below shows the power densities achieved by four of the most used sources of energy harvesting [6].
TABLE 1.1. Power Densities of Typical Energy Harvesters
Energy Source Characteristics Efficiency Power density
2 Outdoor 100 mW/cm Light 10 – 25% Indoor 100 μW/cm2 Human 0.1% 60 μW/cm2 Thermal Industrial 3% 10 mW/cm2 Hz-Human 4 μW/cm2 Vibration 25-50% kHz-Machines 800 μW/cm2 GSM 900 MHz 0.1 μW/cm2 Radio Frequency 50% WiFi 2.4 GHz 0.001 μW/cm2
Although solar energy has the highest power density, the power source is limited to the daytime and access to light. Thermal energy has low efficiency and requires a substantial change in temperature to achieve a decent output. Harvesting vibrations requires constant movement, and the output depends on the frequency of the vibrations.
Radiofrequency is widely available but has a low power density output. 15
In the example of the underwater sensing application, its location limits the availability of sunlight. The same goes for underground sensors in tunnels. The most dependable source in these situations is vibrations.
Mechanical vibrations are found in both natural and manmade sources. They are seen in seismic waves caused by earthquakes and volcanoes, in both land and water, having a resonant frequency ranging from 0.1 to 20 Hz[4], and in artificial sources, including electronic appliances (washing machines, blenders, refrigerators, alarm clocks, etc.) and transportation systems (cars, trains, airplanes, etc.). Table 1.2 shows some environmental vibration sources and their respective resonant frequencies [4, 7-10].
TABLE 1.2. Environmental Vibrations
Vibration Source Frequency (Hz)
Running [7] 1.5, 5.1
Volcanic [4] 0.7–10
Railway [8] 15–30
Oil drill [9] 10.8–12
Vehicles [10] 1–2, 12
1.2 Problem Statement
Harvesting low-frequency vibrations (< 100 Hz) is significant, as this range of frequencies includes many environmental vibrations [7]. Since mechanical vibrations are oscillations, 16 the power generated is alternating, producing alternating current (AC), whereas the devices require a constant power source (direct current; DC) to operate. This, however, can become an issue, as the amplitude of the voltage generated is not large, which makes trying to rectify the voltage challenging. With electrical rectification, considerable losses can occur across the diodes. Diodes usually have a threshold of ~0.4V to 0.6 V, which can be too large for some of the generated voltage to overcome. For voltages larger than the threshold, a significant percentage of their power can be lost across the diodes [11]. This loss becomes more prominent when using a full-bridge rectifier, since two diodes take effect, resulting in a loss of ~1.2 V.
1.3 Objectives
In this thesis, two solutions are proposed to minimize and prevent the losses caused by rectification. The first is to amplify the voltage generated, so that the electrical losses do not have a large effect on the output. The second is to mechanically rectify the voltage and avoid the electrical losses altogether.
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Chapter 2
Background: Vibrational Energy Harvesting
2.1 System Architecture
To use these vibrations as a power source for electronic devices, we must first capture
their mechanical movements and convert them to electrical energy. We now introduce
the components needed to do so.
1. Cantilever
A cantilever is a beam with one end fixed and the other free to oscillate. Figure 2.1 shows
the cantilever oscillating.
Figure 2.1: Oscillating cantilever
The properties and dimensions of the beam determine its resonant frequency. Equation
1 shows this relation for the first mode [12].
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