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Analytical and Numerical Study of a Passive Self-Tuning Resonator

al Tmizi, Majeed LU (2018) FME820 20172
Mechanics
Abstract
Energy harvesting, from ambient vibrations, can be a very effective method for solving the problem with powering electronics were the need for constant power or regular battery replacements is a trouble or an inconvenience. But, since all energy harvesters, using mechanical vibrations, need to operate in resonance in order to generate maximal electrical output, and ambient vibrations usually do not have a constant vibration frequency, this results in the need for efficient self-tuning systems. This thesis presents an analytical study on the vibrational properties of passive self-tuning systems, based on the clamped-clamped beams and strings carrying a sliding mass. Numerical studies and modal analysis are presented and results are... (More)
Energy harvesting, from ambient vibrations, can be a very effective method for solving the problem with powering electronics were the need for constant power or regular battery replacements is a trouble or an inconvenience. But, since all energy harvesters, using mechanical vibrations, need to operate in resonance in order to generate maximal electrical output, and ambient vibrations usually do not have a constant vibration frequency, this results in the need for efficient self-tuning systems. This thesis presents an analytical study on the vibrational properties of passive self-tuning systems, based on the clamped-clamped beams and strings carrying a sliding mass. Numerical studies and modal analysis are presented and results are commented and explained. An attempt where made to reproduce the behavior of those systems in the commercial programs ADAMS and ABAQUS, the results and setbacks from those attempts are presented. (Less)
Popular Abstract
The use of portable electronics and small monitoring sensors have increased significantly in the last two decades. But the lack of maintenance free and portable power supplies has limited the potential applications of those components. With a passive self-tuning system, it would be possible to efficiently use a vibrational energy harvester to power those electronics. In the author's opinion the clamped-clamped beam with a sliding-mass system could be the tuning mechanism that will bring out the potential of energy harvesting from vibrations.
Please use this url to cite or link to this publication:
author
al Tmizi, Majeed LU
supervisor
organization
course
FME820 20172
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Energy harvesting, mechanical vibrations, passive self-tuning, beam resonators, string resonators, sliding proof-mass, MEMS, actuators
report number
ISRN LUTFD2/TFME-18/5038--SE(1-55)
ISBN
ISRN LUTFD2/TFME-18/5038--SE(1-55)
language
English
additional info
ISRN LUTFD2/TFME-18/5038--SE(1-55)
id
8937446
date added to LUP
2018-04-12 12:09:36
date last changed
2018-04-12 12:09:36
@misc{8937446,
  abstract     = {{Energy harvesting, from ambient vibrations, can be a very effective method for solving the problem with powering electronics were the need for constant power or regular battery replacements is a trouble or an inconvenience. But, since all energy harvesters, using mechanical vibrations, need to operate in resonance in order to generate maximal electrical output, and ambient vibrations usually do not have a constant vibration frequency, this results in the need for efficient self-tuning systems. This thesis presents an analytical study on the vibrational properties of passive self-tuning systems, based on the clamped-clamped beams and strings carrying a sliding mass. Numerical studies and modal analysis are presented and results are commented and explained. An attempt where made to reproduce the behavior of those systems in the commercial programs ADAMS and ABAQUS, the results and setbacks from those attempts are presented.}},
  author       = {{al Tmizi, Majeed}},
  isbn         = {{ISRN LUTFD2/TFME-18/5038--SE(1-55)}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Analytical and Numerical Study of a Passive Self-Tuning Resonator}},
  year         = {{2018}},
}