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Multicoil reader for wireless measurements of strain
Descriptive
TitleInfo
Title
Multicoil reader for wireless measurements of strain
Name
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NamePart
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Ferri
NamePart
(type = given)
Paul N.
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Paul N. Ferri
Role
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author
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(type = personal)
NamePart
(type = family)
Mazzeo
NamePart
(type = given)
Aaron D
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Aaron D Mazzeo
Affiliation
Advisory Committee
Role
RoleTerm
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chair
Name
(type = personal)
NamePart
(type = family)
Malhotra
NamePart
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Rajiv
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Rajiv Malhotra
Affiliation
Advisory Committee
Role
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internal member
Name
(type = personal)
NamePart
(type = family)
Benaroya
NamePart
(type = given)
Haym
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Haym Benaroya
Affiliation
Advisory Committee
Role
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internal member
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NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
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NamePart
School of Graduate Studies
Role
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school
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Text
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theses
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2019
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(type = degree)
2019-10
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2019
Language
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(type = text)
English
Abstract
(type = abstract)
This thesis presents a new multicoil reader to interrogate and locate an embeddable wireless sensor through electromagnetic induction to detect small strain. The passive sensor employs a piezoelectric crystal oscillator with a resonant frequency of ~1.8 MHz to detect strain and a pair of planar coils to communicate wirelessly through inductive coupling. Operating at these low frequencies limits the effective distance of wireless communication to ~2 inches due to the quasi-static electromagnetic field generated by the reader coil. The accuracy of the passive strain sensor decreases when there exists an offset in the relative position between the pair of inductively coupled coils. This work presents a new multicoil reader capable of locating the sensor coil to remove measurement error associated with misaligned coils. The multicoil reader consists of four rectangular reader coils that independently induce electric potentials/currents into the sensing coil and measure the frequency response. From the frequency response, the multicoil reader calculates the mutual inductance between each pair of inductively coupled coils. To locate the sensor coil, this work employs high-fidelity multiphysics simulations to solve the “forward problem” of determining the mutual inductance between a pair of inductively coupled coils as a function of relative position. From the multiphysics simulations and the kinematics of the multicoil reader, this research creates backward conversion libraries that correlate the location of the sensor coil as a function of the simulated mutual inductances in each coil of the multicoil reader. Using MATLAB scripts, the multicoil reader imports the measured mutual inductances, assembles the backward conversion libraries of simulated data, and searches libraries using Simulink’s n-D lookup tables that match the measured mutual inductances to the simulated and the corresponding sensor coil location.
Subject
(authority = RUETD)
Topic
Mechanical and Aerospace Engineering
Subject
(authority = local)
Topic
Strain sensor
Subject
(authority = LCSH)
Topic
Structural health monitoring
Subject
(authority = LCSH)
Topic
Materials -- Fatigue -- Measurement
RelatedItem
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Title
Rutgers University Electronic Theses and Dissertations
Identifier
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ETD
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ETD_10294
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application/pdf
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text/xml
Extent
1 online resource (xiv, 113 pages) : illustrations
Note
(type = degree)
M.S.
Note
(type = bibliography)
Includes bibliographical references
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Title
School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
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NjNbRU
Identifier
(type = doi)
doi:10.7282/t3-epd4-8m79
Genre
(authority = ExL-Esploro)
ETD graduate
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Rights
RightsDeclaration
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The author owns the copyright to this work.
RightsHolder
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Name
FamilyName
Ferri
GivenName
Paul
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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2019-09-22 22:18:58
AssociatedEntity
Name
Paul Ferri
Role
Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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Embargo
DateTime
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2019-10-31
DateTime
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2020-05-01
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after May 1st, 2020.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
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ETD
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windows xp
DateCreated
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2019-11-11T17:12:28
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1.7
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