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Ulas Ayaz, PhD
Portfolio of Previous Design Work
Micro-Optical Shear
Stress Sensor
 First ever shear stress sensor to measure the direct wall
shear stress of a reattaching flow.
 Capable of measuring both the mean and fluctuating
component of turbulent flow
 Flexible design: By changing the sensing element’s
material type and size, the resolution and the sensor
bandwidth can be adjusted to accommodate varying
flows.
 Because of its superiority to the competition, the sensor
is used to test a vortex generator developed in Vanderbilt
University.
 It is immune to electromagnetic interference
 Experimentally measured dynamic range > 105dB
Design Inputs
Market Needs Obtained from Objective value
Direct
Measurement
Funded research grants
Sensor should measure stress or something that
has similar units to stress
“Small”
Literature survey and
competition
Largest dimension of the sensing surface should
be less than 0.8mm
“Fast”
Literature survey and
competition
Frequency response should be better than the
largest time scale of the turbulent structures
“High sensitivity”
Funded research grants,
literature and market
survey, competition
Sensor should be able to measure both the mean
and the fluctuating component (Less than 1% of
the mean component in magnitude) of the shear
stress
“High Dynamic
Range”
Competition
MEMs based indirect sensors had 60-100 dB
dynamic range.
Sensor Design Characteristics
Membrane to
stop the backflow
Sensing plate: Converts the skin
friction to applied force
Pivoting axle
D-Shaped silica fiber lever:
Translates the applied force at
the sensing plate to the
microsphere
Additional Perks:
• Optical Sensor: Immune to Electromagnetic
Interference
• Flexible design: Changing the sphere material
and size, the sensitivity-bandwidth range can be
made to accommodate a wide range of
applications
Sensitivity and
Bandwidth Analysis
Sensitivity dependence plot on sphere
material’s elastic modulus and size
Experimental validation of
sensitivity analysis
 Sensitivity is a function of sphere material (E)
and size (D).
 Using Hertz’ Contact Theory for spherical
surfaces, the force sensitivity of the sensing
element is solved based on its elastic modulus
and size (graph on top right)
 The analysis have been verified experimentally
for PMMA spheres (graph on right bottom
corner)
 The bandwidth of the sensing element is also
analytically solved
 For this analysis, the first natural frequency of
the sensing element is assumed to be the
sensor bandwidth
 The graph on the left shows the estimated
sensor bandwidths based on the elastic
modulus and the size of the sensing element
Bandwidth of the sensing
element
Sensor Calibration
Designed shear stress sensor has a lever and a membrane.
The friction at the pivot and membrane elasticity will also
contribute to the sensitivity.
The sensor is experimentally calibrated for 2 different
sphere materials, both for the sensitivity and bandwidth
Pivot location:
The clearance is
filled with PDMS
Lever Contact
Calibration Setup
 
dx
xdPh
2

Design Verification Tests
7
dl/d = 15.086 pm/Pa
-1
0
1
2
3
4
0 0.05 0.1 0.15 0.2 0.25
WGMShift,pm
Wall Shear stress, Pa
Steady flow measurements
Design Verification Tests
Sensor is tested for both steady and
unsteady flows
For steady flows, a pump in suction mode
provided a 2-D flow. I have changed the
pump input over time to test the sensor
at varying flow speeds
For the unsteady flow tests, a planewave
tube is designed and built. A speaker
delivered the unsteady flow and a
microphone recorded the pressure
gradient, from which the shear stress is
calculated
The sensor performed well in both
unsteady and steady flows, with 99%
linear response up to 3.5 kHz.
Unsteady Flow Tests at
1.4kHz and 3.2 kHz
Experimental Setup for
Unsteady Flow Tests
 
 


/
/
0
1
iRJ
iRJ
dx
dP
c
i



Challenge: Shear Stress
of Reattaching Flow
-0.004
-0.003
-0.002
-0.001
0
0.001
0.002
0.003
0.004
0.005
0.006
0 5 10 15 20
Cf
x/H
Re=2500
Re=3600
Re=4600
Spazzini et al (Re=5100) [50]
Jovic et al (Re=5000) [49]
Skin friction coefficient distribution along the step wall
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 5 10 15 20
FFP
X/H
Current measurement
Spazzini et al (Re=3500) [50]
Forward flow probability for Re = 3600
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 5 10 15 20
x/H
Spazzini et al (Re=3500) [50]
Present work
Tihon et al (Re=3800) [51]
RMS of fluctuating wall shear stress (Re = 3600)
 After the lab tests, an experimental
setup is designed to test the sensor in
a real flow challenge: The reattaching
flow
 There is no direct shear stress
measurement of this flow, only
analytical work or measuring other
parameters and relying on models
 Since there is no other sensor that
can perform this measurement, the
sensor output is compared to
analytical studies in the literature
 The results show good agreement
 Thus, the shear stress of reattaching
flow has been measured directly for
the first time
Whispering Gallery Mode
Seismometer:
WhiGS
Directly measures acceleration, without
relying on velocity measurements
Immune to Electromagnetic Interference
Measurement resolution of 1 micro-g
Constant sensitivity up to 20 Hz.
1000 S/s data acquisition rate
Small size: 10cm3 for single axis
measurement.
Design Inputs
Market Needs Obtained from Objective value
“High sensitivity” Requirement
Sensor should be able to pick up vibration at 1
micro-g
“Fast”
Requirement and
competition
Sensor should be able to measure vibration up to
20 Hz.
High Dynamic
Range
Competition
MEMs based indirect sensors had 60-100 dB
dynamic range.
Small size Requirement Sensor dimensions should not exceed 10-cm
Immune to EMI Requirement Sensing principle must be optical
Flexible Design Intended use
Sensor bandwidth and resolution should
accommodate for variety of measurement ranges
Light Coupling
Optical fiber (Input/Output port of the sensor)
Tapered fiber section
Optical fiber guide
Sensor Design
Characteristics
Cross Sectional View of the Sensor
Proof Mass
Spring
Carrier: Houses the sphere
and is independent from
the spring-mass assembly
(3x)M1.6 adjustment screw:
provides vertical translation
to bring the sphere in
contact with proof mass
Together,the
spring-mass
assembly
converts the
vibration into
force
Dielectric
microsphere:
Sensing element
Sensor Design Characteristics
Optical Fiber:
Input/Output
port of the
sensor
Fiber support:
provides a stable
coupling
Sphere Housing
Rubber Washer to
provide cushioning
between carrier
and housing
UV curable
bonding agent (nm
precision)
Manufactured Sensor
Machined with CNC milling and lathe machines
Fiber support and the spring-mass assembly and
housing parts require miniature tools (<1mm)
Electronics packaging for sensor’s
signal process
Design Verification Tests
The laboratory tests are carried out by mounting the
sensor assembly on a shaker table and comparing the
sensor output to the input to the shaker table
The input to the shaker table were sinusoidal waves at
varying frequencies and magnitudes
A typical measurement at 1 Hz is provided
3.84 mg_8 Hz Filtered
-0.06
-0.04
-0.02
0
0.02
0.04
0.06
0.35 0.36 0.37 0.38 0.39 0.4 0.41
Time (s)
Vibration(V)
-8
-6
-4
-2
0
2
4
6
8
10
12
14
WGMShift(pm)
Voltage Input
WGM Shift
180ug_1Hz
-0.4
-0.3
-0.2
-0.1
0
0.1
0.2
0.3
0.4
0 1 2 3 4 5
Time (s)
Vibration(V)
-4
-3
-2
-1
0
1
2
3
4
WGMShift(pm)
Voltage Input
WGM Shift Filtered
Parameters
Mass (kg) 0.015
Stiffness (N/m) 631
Resistance Constant (kg/s) 0.5
Sphere: PDMS 181 pm/mN
Q Factor (Mechanical) 5
Decay Modulus (s) 0.04
WhiGs
Sensor
Experimental setup
Typical Measurement at 1 Hz at 180 micro g Sensor Characteristics
Design Validation
Test
After the lab tests, the sensor is tested
against CMG3T seismometer
The data shown compares the seismic
activity measurement between WhiGS
sensor and the commercial CMG3T
outputs on March 22nd 2012 01.18 hrs
GMT.
As illustrated in the graph, there is good
agreement between the data sets.
-10
-8
-6
-4
-2
0
2
4
6
8
10
0 10 20 30 40 50
WhiGs,pm
-150
-100
-50
0
50
100
150
0 10 20 30 40 50
Verticalacceleration,ug
Time, s
Time, s
Micro-Optical Pressure Sensor
 Immune to electromagnetic interference
 Machinable by micro milling and lathe tools
 Received attention of Ford Motor Company to
be used in future car designs
 Flexible design: by changing the sphere
material and size sensor performance
characteristics can be modified to
accommodate a wide range of applications
Design Inputs
Market Needs Obtained from Objective value
“Small”
Literature survey and
competition
Largest dimension of the sensing surface should
be less than 0.8mm
“Fast”
Literature survey and
competition
Frequency response should be higher than the
frequency scale of the turbulent structures
“High sensitivity”
Funded research grants,
literature and market
survey, competition
Sensor should be able to measure the fluctuating
component of the pressure
High Dynamic
Range
Competition
MEMs based indirect sensors had 60-100 dB
dynamic range.
Low Power
consumption
Competition, intended
use
Power consumption should be ≤ 1mW
Design Characteristics Elastic Membrane, delivers
the pressure applied to its
surface to the sensing
element
Ring: Clamps the
membrane
Dielectric microsphere:
Sensing Element
M06 set screw: Used to
bring sphere in contact
with the membrane
D-shaped fiber: facilitates
light coupling to the
sensing element
Fiber guide:
ruggedizes the fiber
Clearance: The gap between the
fiber guide and the housing can
accommodate changes in sphere
sizes up to 20%
Section view
Design Characteristics
Input/Output
port
Air Vent: Used to maintain inner
pressure equal to the atmospheric
pressure.
It is also the logo of our lab!
Sensor Components
Housing
Membrane
Ring
Sphere holder
D-Shaped fiber
section
Fiber housing
SM Fiber
Cladding
Plastic jacket
of optical fiber
Analysis of the Sensor
Sensor is modeled as a linear system
The membrane and the dielectric sphere are linear springs
connected in parallel.
The spring constants depend on the geometry and the
material properties of the membrane and the
microsphere
The membrane thickness was not constant. It varied
between 50 micron to 75 micron. The analysis took into
account both extremes
Analytical work is compared with the experimental
measurements
Experimental validation of analysis
Mechanical Model of the
Sensor
Design Verification Tests
 Steady flow tests have been carried out in a 2-D wind
channel.
 The flow speed is varied and the sensor measurement is
compared to that of a commercial pressure sensor
 The results show strong agreement between the two
measurements
Steady Flow Tests
Steady Flow Test Setup
Design Verification Tests
Unsteady flow tests have been carried out in a plane wave
tube.
A speaker is driven at sinusoidal inputs and the resulting
pressure is recorded
The measurements of the sensor are compared to that of a
microphone.
1.8kHz
400Hz
2 measurements at 400Hz and 1.8kHz are
shown here as sample
WGM Electric Field Sensor
Measured sensitivity of 30V/m
By adding coating layers on the
sphere, the sensitivity is further
improved
Led to the foundation of Neuro-
Photonic Research Center to
initiate the development of
electro-mechanical prosthetic
with the ability to “feel”. The
project received $5M in funding
from DARPA
Design Inputs
Market Needs Obtained from Objective value
Non-toxic Intended use, FDA
Sensor should have no adverse effect on live
tissue
“Fast” Intended use
Frequency response should be higher than 300
Hz, the frequency of signal from a neuron
“High sensitivity” Requirement
Sensor should be able to measure 3V/m Electric
field
Soft material Market survey
Sensor parts in direct contact with organic tissue
should have similar Youngs moduli as the tissue
Low Power
consumption
Competition, intended
use
Power consumption should be ≤ 1mW
WGM Electric Field
Sensor
PDMS sphere, polarized by 1MV/m
Without coating, the sensor resolution is 30V/m
Sensitivity: 0.0055 pm/Vm-1
Sensitivity
Improvement
The sphere is changed to a silica core and an uncured PDMS
coat over
The resulted sensitivity increased to 0.2 pm/Vm-1
Measurement resolution with this sphere is 2.5 V/m
This increased sensitivity is high enough to use the sensor in
detecting the brain signals
The sensor is also bio-compatible
Neuro-Photonic Sensor
By detecting the brain-signals, the commands of the
brain can be transmitted to a prosthetic
Prosthetic can be equipped with embedded pressure
and temperature sensors that can give feedback that
will let the brain “feel” with the prosthetic.
List of Publications Related to the
Design Work Presented Here
PATENT
 M.V. Ötügen, T. Ioppolo and U.K. Ayaz “Micro-optical sensor for electric field detection, “US 20110277540 A1, issued
November 2011.
BOOK CHAPTER
 A. Serpengüzel, Y.O. Yılmaz, U.K. Ayaz, and A. Kurt, “Silicon Microspheres for VLSI Photonics,” in “VLSI Micro- and
Nanophotonics: Science, Technology, and Applications,” El-Hang Lee, Louay Eldada, M. Razeghi, and C. Jagadish, CRC
Press, Taylor and Francis Group, Boca Raton, Florida pp. 3.1-3.12 (2010). ISBN: 1574447297.
PUBLICATION LIST
 U. K. Ayaz, T. Ioppolo, M.V. Ötügen, “Direct measurement of wall shear stress in a reattaching flow using an optical
wall shear stress sensor.” Journal of Measurement Science & Technology, vol. 24, 124001, (2013) doi:10.1088/0957-
0233/24/12/124001.
 T. Ioppolo, V. Ötügen, U. Ayaz, “Development of Whispering Gallery Mode Polymeric Micro-optical Electric Field
Sensors,” Journal of Visualized Experiments, vol. 71, e50199, (2012).
 M. Manzo, T. Ioppolo, U.K. Ayaz, V. Lapenna, M. V. Ötügen, “A Photonic Wall Pressure Sensor for Fluid Mechanics
Applications,” Review of Scientific Instruments, vol. 83, 105003 (2012).
 U.K. Ayaz, T. Ioppolo, M.V. Ötügen, “Wall Shear Stress Sensor Based on the Optical Resonances of Dielectric
Microspheres,” Journal of Measurement Science & Technology, vol. 22, (2011).
 T. Ioppolo, U.K. Ayaz, M.V. Ötügen, “Tuning of Whispering Gallery Modes of Spherical Resonators Using an External
Electric Field,” Optics Express, vol. 17, 19, pp. 16465-16479 (2009).
List of Publications (Continued..)
 T. Ioppolo, U.K. Ayaz, M.V. Ötügen, “High Resolution Force Sensor Based on Morphology Dependent Optical
Resonators Polymeric Spheres,” Journal of Applied Physics, vol. 105, 013535, (2009).
 U.K. Ayaz, A. Kurt, A. Serpengüzel, “Silicon Microspheres for Electronic and Photonic Integration,” Photonics and
Nanostructures- Fundamentals and Applications, vol. 6, pp. 179-182, (2008)
 U.K. Ayaz, T. Ioppolo, M.V. Ötügen, “Micro-optical Wall Shear Stress Sensor for Fluid Mechanics Applications,”
Progress in Electromagnetics Research Symposium, Prague, July 2015.
 T. Ioppolo, U.K. Ayaz, V. Ötügen, “Force Sensors Based on the Whispering Gallery Modes of Dielectric
Microspheres,” SPIE Photonics West conference, 24-29 January 2009, San Jose, California.
 U.K. Ayaz, A. Kurt and A. Serpengüzel, “Silicon microspheres for integrated photonics” in “Proc. of the SPIE
Symposia: Optoelectronic Integrated Circuits IX,” San Jose, California, USA, L. A. Eldada, E.-H. Lee, Eds, published by
the SPIE, Bellingham, Washington, USA, 6476,6476061-6476062(2007).
 A. Serpengüzel, A. Kurt and U.K. Ayaz, “Silicon microspheres photonics” in “Proc. of the SPIE Symposia: Photonic
Materials, Devices, and Applications II,” San Jose, Gran Canaria, Spain, A. Serpengüzel, G. Badenes, and G. Righini,
Eds, published by the SPIE, Bellingham, Washington, USA, 6593, 659301-659307(2007).
 U.K. Ayaz, T. Ioppolo and M.V. Ötügen, “Direct measurement of wall shear stress in a backward facing step flow using
a photonic wall shear stress sensor,” presented at the 65th Annual meeting of APS Division of Fluid Dynamics, 19-21
November 2012, San Diego, California.
 D. Fourguette, M. Ötügen, L. Larocque, U. Ayaz, G. Ritter, “Optical MEMS-Based Seismometer,” Proceedings of the 2012
Monitoring Research Review, Sept. 18-20, 2012, Albuquerque, New Mexico.
List of Publications (Continued..)
 J. Stubblefield, D. Womack, T. Ioppolo, U. Ayaz, M.V. Ötügen, “Composite micro-sphere optical resonators for electric
field measurement,” Proceedings of SPIE 8236, Feb. 2012.
 U.K. Ayaz, T. Ioppolo and M.V. Ötügen, “High Resolution Micro-Optical Wall Shear Stress Sensor,” 49th AIAA
Aerospace Sciences Meeting including The New Horizons Forum and Aerospace Exposition, 5-8 January 2011,
Orlando, Florida.
 T. Ioppolo, U.K. Ayaz, V. Ötügen: “Tuning of whispering gallery modes of polymeric micro-spheres and shells using
external electric field.” SPIE Photonics West conference, 23-28 January 2010, San Francisco, California.
 T. Ioppolo, U.K. Ayaz, M.V. Ötügen, “Performance of a Micro-Optical Wall Shear Stress Sensor Based on Whispering
Gallery Mode Resonators,” 47th AIAA Aerospace Sciences Meeting including The New Horizons Forum and
Aerospace Exposition, 5-8 January 2009, Orlando, Florida.
 T. Ioppolo, U.K. Ayaz, V. Ötügen: “Whispering Gallery Mode Based Micro-Optical Sensor for Electromagnetic Field
Detection,” AIAA InfoTech Aerospace Conference and Exhibit, April 2009, Seattle, Washington (oral presentation).
 T. Ioppolo, U.K. Ayaz, V. Ötügen: “Performance of a Micro-Optical Wall Shear Stress Sensor Based on Whispering
Gallery Mode Resonators,” 47th AIAA Aerospace Sciences Meeting and Exhibit, Orlando, Florida AIAA-2009-0314.
 T. Ioppolo, U.K. Ayaz, V. Ötügen: “High-Resolution Whispering Gallery Mode Force Micro-Sensor Based on Polymeric Spheres,” 47th
AIAA Aerospace Sciences Meeting and Exhibit, Orlando, Florida AIAA-2009-0314.
 T. Ioppolo, U.K. Ayaz, V. Ötügen and V.A. Sheverev: “A Micro-Optical Wall Shear Stress Sensor Concept Based on Whispering Gallery
Mode Resonators,” 46th AIAA Aerospace Sciences Meeting and Exhibit, January 2008, Reno, Nevada.
 U.K. Ayaz and A. Serpengüzel, “Resonance Shifts in an Electrically Driven Silicon Microsphere,” Balkan Physics Union, 2006 August,
Istanbul, Turkey (oral presentation).

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Ayaz_portfolio

  • 1. Ulas Ayaz, PhD Portfolio of Previous Design Work
  • 2. Micro-Optical Shear Stress Sensor  First ever shear stress sensor to measure the direct wall shear stress of a reattaching flow.  Capable of measuring both the mean and fluctuating component of turbulent flow  Flexible design: By changing the sensing element’s material type and size, the resolution and the sensor bandwidth can be adjusted to accommodate varying flows.  Because of its superiority to the competition, the sensor is used to test a vortex generator developed in Vanderbilt University.  It is immune to electromagnetic interference  Experimentally measured dynamic range > 105dB
  • 3. Design Inputs Market Needs Obtained from Objective value Direct Measurement Funded research grants Sensor should measure stress or something that has similar units to stress “Small” Literature survey and competition Largest dimension of the sensing surface should be less than 0.8mm “Fast” Literature survey and competition Frequency response should be better than the largest time scale of the turbulent structures “High sensitivity” Funded research grants, literature and market survey, competition Sensor should be able to measure both the mean and the fluctuating component (Less than 1% of the mean component in magnitude) of the shear stress “High Dynamic Range” Competition MEMs based indirect sensors had 60-100 dB dynamic range.
  • 4. Sensor Design Characteristics Membrane to stop the backflow Sensing plate: Converts the skin friction to applied force Pivoting axle D-Shaped silica fiber lever: Translates the applied force at the sensing plate to the microsphere Additional Perks: • Optical Sensor: Immune to Electromagnetic Interference • Flexible design: Changing the sphere material and size, the sensitivity-bandwidth range can be made to accommodate a wide range of applications
  • 5. Sensitivity and Bandwidth Analysis Sensitivity dependence plot on sphere material’s elastic modulus and size Experimental validation of sensitivity analysis  Sensitivity is a function of sphere material (E) and size (D).  Using Hertz’ Contact Theory for spherical surfaces, the force sensitivity of the sensing element is solved based on its elastic modulus and size (graph on top right)  The analysis have been verified experimentally for PMMA spheres (graph on right bottom corner)  The bandwidth of the sensing element is also analytically solved  For this analysis, the first natural frequency of the sensing element is assumed to be the sensor bandwidth  The graph on the left shows the estimated sensor bandwidths based on the elastic modulus and the size of the sensing element Bandwidth of the sensing element
  • 6. Sensor Calibration Designed shear stress sensor has a lever and a membrane. The friction at the pivot and membrane elasticity will also contribute to the sensitivity. The sensor is experimentally calibrated for 2 different sphere materials, both for the sensitivity and bandwidth Pivot location: The clearance is filled with PDMS Lever Contact Calibration Setup
  • 7.   dx xdPh 2  Design Verification Tests 7 dl/d = 15.086 pm/Pa -1 0 1 2 3 4 0 0.05 0.1 0.15 0.2 0.25 WGMShift,pm Wall Shear stress, Pa Steady flow measurements
  • 8. Design Verification Tests Sensor is tested for both steady and unsteady flows For steady flows, a pump in suction mode provided a 2-D flow. I have changed the pump input over time to test the sensor at varying flow speeds For the unsteady flow tests, a planewave tube is designed and built. A speaker delivered the unsteady flow and a microphone recorded the pressure gradient, from which the shear stress is calculated The sensor performed well in both unsteady and steady flows, with 99% linear response up to 3.5 kHz. Unsteady Flow Tests at 1.4kHz and 3.2 kHz Experimental Setup for Unsteady Flow Tests       / / 0 1 iRJ iRJ dx dP c i   
  • 9. Challenge: Shear Stress of Reattaching Flow -0.004 -0.003 -0.002 -0.001 0 0.001 0.002 0.003 0.004 0.005 0.006 0 5 10 15 20 Cf x/H Re=2500 Re=3600 Re=4600 Spazzini et al (Re=5100) [50] Jovic et al (Re=5000) [49] Skin friction coefficient distribution along the step wall 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0 5 10 15 20 FFP X/H Current measurement Spazzini et al (Re=3500) [50] Forward flow probability for Re = 3600 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0 5 10 15 20 x/H Spazzini et al (Re=3500) [50] Present work Tihon et al (Re=3800) [51] RMS of fluctuating wall shear stress (Re = 3600)  After the lab tests, an experimental setup is designed to test the sensor in a real flow challenge: The reattaching flow  There is no direct shear stress measurement of this flow, only analytical work or measuring other parameters and relying on models  Since there is no other sensor that can perform this measurement, the sensor output is compared to analytical studies in the literature  The results show good agreement  Thus, the shear stress of reattaching flow has been measured directly for the first time
  • 10. Whispering Gallery Mode Seismometer: WhiGS Directly measures acceleration, without relying on velocity measurements Immune to Electromagnetic Interference Measurement resolution of 1 micro-g Constant sensitivity up to 20 Hz. 1000 S/s data acquisition rate Small size: 10cm3 for single axis measurement.
  • 11. Design Inputs Market Needs Obtained from Objective value “High sensitivity” Requirement Sensor should be able to pick up vibration at 1 micro-g “Fast” Requirement and competition Sensor should be able to measure vibration up to 20 Hz. High Dynamic Range Competition MEMs based indirect sensors had 60-100 dB dynamic range. Small size Requirement Sensor dimensions should not exceed 10-cm Immune to EMI Requirement Sensing principle must be optical Flexible Design Intended use Sensor bandwidth and resolution should accommodate for variety of measurement ranges
  • 12. Light Coupling Optical fiber (Input/Output port of the sensor) Tapered fiber section Optical fiber guide
  • 13. Sensor Design Characteristics Cross Sectional View of the Sensor Proof Mass Spring Carrier: Houses the sphere and is independent from the spring-mass assembly (3x)M1.6 adjustment screw: provides vertical translation to bring the sphere in contact with proof mass Together,the spring-mass assembly converts the vibration into force Dielectric microsphere: Sensing element
  • 14. Sensor Design Characteristics Optical Fiber: Input/Output port of the sensor Fiber support: provides a stable coupling Sphere Housing Rubber Washer to provide cushioning between carrier and housing UV curable bonding agent (nm precision)
  • 15. Manufactured Sensor Machined with CNC milling and lathe machines Fiber support and the spring-mass assembly and housing parts require miniature tools (<1mm) Electronics packaging for sensor’s signal process
  • 16. Design Verification Tests The laboratory tests are carried out by mounting the sensor assembly on a shaker table and comparing the sensor output to the input to the shaker table The input to the shaker table were sinusoidal waves at varying frequencies and magnitudes A typical measurement at 1 Hz is provided 3.84 mg_8 Hz Filtered -0.06 -0.04 -0.02 0 0.02 0.04 0.06 0.35 0.36 0.37 0.38 0.39 0.4 0.41 Time (s) Vibration(V) -8 -6 -4 -2 0 2 4 6 8 10 12 14 WGMShift(pm) Voltage Input WGM Shift 180ug_1Hz -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0 1 2 3 4 5 Time (s) Vibration(V) -4 -3 -2 -1 0 1 2 3 4 WGMShift(pm) Voltage Input WGM Shift Filtered Parameters Mass (kg) 0.015 Stiffness (N/m) 631 Resistance Constant (kg/s) 0.5 Sphere: PDMS 181 pm/mN Q Factor (Mechanical) 5 Decay Modulus (s) 0.04 WhiGs Sensor Experimental setup Typical Measurement at 1 Hz at 180 micro g Sensor Characteristics
  • 17. Design Validation Test After the lab tests, the sensor is tested against CMG3T seismometer The data shown compares the seismic activity measurement between WhiGS sensor and the commercial CMG3T outputs on March 22nd 2012 01.18 hrs GMT. As illustrated in the graph, there is good agreement between the data sets. -10 -8 -6 -4 -2 0 2 4 6 8 10 0 10 20 30 40 50 WhiGs,pm -150 -100 -50 0 50 100 150 0 10 20 30 40 50 Verticalacceleration,ug Time, s Time, s
  • 18. Micro-Optical Pressure Sensor  Immune to electromagnetic interference  Machinable by micro milling and lathe tools  Received attention of Ford Motor Company to be used in future car designs  Flexible design: by changing the sphere material and size sensor performance characteristics can be modified to accommodate a wide range of applications
  • 19. Design Inputs Market Needs Obtained from Objective value “Small” Literature survey and competition Largest dimension of the sensing surface should be less than 0.8mm “Fast” Literature survey and competition Frequency response should be higher than the frequency scale of the turbulent structures “High sensitivity” Funded research grants, literature and market survey, competition Sensor should be able to measure the fluctuating component of the pressure High Dynamic Range Competition MEMs based indirect sensors had 60-100 dB dynamic range. Low Power consumption Competition, intended use Power consumption should be ≤ 1mW
  • 20. Design Characteristics Elastic Membrane, delivers the pressure applied to its surface to the sensing element Ring: Clamps the membrane Dielectric microsphere: Sensing Element M06 set screw: Used to bring sphere in contact with the membrane D-shaped fiber: facilitates light coupling to the sensing element Fiber guide: ruggedizes the fiber Clearance: The gap between the fiber guide and the housing can accommodate changes in sphere sizes up to 20% Section view
  • 21. Design Characteristics Input/Output port Air Vent: Used to maintain inner pressure equal to the atmospheric pressure. It is also the logo of our lab!
  • 22. Sensor Components Housing Membrane Ring Sphere holder D-Shaped fiber section Fiber housing SM Fiber Cladding Plastic jacket of optical fiber
  • 23. Analysis of the Sensor Sensor is modeled as a linear system The membrane and the dielectric sphere are linear springs connected in parallel. The spring constants depend on the geometry and the material properties of the membrane and the microsphere The membrane thickness was not constant. It varied between 50 micron to 75 micron. The analysis took into account both extremes Analytical work is compared with the experimental measurements Experimental validation of analysis Mechanical Model of the Sensor
  • 24. Design Verification Tests  Steady flow tests have been carried out in a 2-D wind channel.  The flow speed is varied and the sensor measurement is compared to that of a commercial pressure sensor  The results show strong agreement between the two measurements Steady Flow Tests Steady Flow Test Setup
  • 25. Design Verification Tests Unsteady flow tests have been carried out in a plane wave tube. A speaker is driven at sinusoidal inputs and the resulting pressure is recorded The measurements of the sensor are compared to that of a microphone. 1.8kHz 400Hz 2 measurements at 400Hz and 1.8kHz are shown here as sample
  • 26. WGM Electric Field Sensor Measured sensitivity of 30V/m By adding coating layers on the sphere, the sensitivity is further improved Led to the foundation of Neuro- Photonic Research Center to initiate the development of electro-mechanical prosthetic with the ability to “feel”. The project received $5M in funding from DARPA
  • 27. Design Inputs Market Needs Obtained from Objective value Non-toxic Intended use, FDA Sensor should have no adverse effect on live tissue “Fast” Intended use Frequency response should be higher than 300 Hz, the frequency of signal from a neuron “High sensitivity” Requirement Sensor should be able to measure 3V/m Electric field Soft material Market survey Sensor parts in direct contact with organic tissue should have similar Youngs moduli as the tissue Low Power consumption Competition, intended use Power consumption should be ≤ 1mW
  • 28. WGM Electric Field Sensor PDMS sphere, polarized by 1MV/m Without coating, the sensor resolution is 30V/m Sensitivity: 0.0055 pm/Vm-1
  • 29. Sensitivity Improvement The sphere is changed to a silica core and an uncured PDMS coat over The resulted sensitivity increased to 0.2 pm/Vm-1 Measurement resolution with this sphere is 2.5 V/m This increased sensitivity is high enough to use the sensor in detecting the brain signals The sensor is also bio-compatible
  • 30. Neuro-Photonic Sensor By detecting the brain-signals, the commands of the brain can be transmitted to a prosthetic Prosthetic can be equipped with embedded pressure and temperature sensors that can give feedback that will let the brain “feel” with the prosthetic.
  • 31. List of Publications Related to the Design Work Presented Here PATENT  M.V. Ötügen, T. Ioppolo and U.K. Ayaz “Micro-optical sensor for electric field detection, “US 20110277540 A1, issued November 2011. BOOK CHAPTER  A. Serpengüzel, Y.O. Yılmaz, U.K. Ayaz, and A. Kurt, “Silicon Microspheres for VLSI Photonics,” in “VLSI Micro- and Nanophotonics: Science, Technology, and Applications,” El-Hang Lee, Louay Eldada, M. Razeghi, and C. Jagadish, CRC Press, Taylor and Francis Group, Boca Raton, Florida pp. 3.1-3.12 (2010). ISBN: 1574447297. PUBLICATION LIST  U. K. Ayaz, T. Ioppolo, M.V. Ötügen, “Direct measurement of wall shear stress in a reattaching flow using an optical wall shear stress sensor.” Journal of Measurement Science & Technology, vol. 24, 124001, (2013) doi:10.1088/0957- 0233/24/12/124001.  T. Ioppolo, V. Ötügen, U. Ayaz, “Development of Whispering Gallery Mode Polymeric Micro-optical Electric Field Sensors,” Journal of Visualized Experiments, vol. 71, e50199, (2012).  M. Manzo, T. Ioppolo, U.K. Ayaz, V. Lapenna, M. V. Ötügen, “A Photonic Wall Pressure Sensor for Fluid Mechanics Applications,” Review of Scientific Instruments, vol. 83, 105003 (2012).  U.K. Ayaz, T. Ioppolo, M.V. Ötügen, “Wall Shear Stress Sensor Based on the Optical Resonances of Dielectric Microspheres,” Journal of Measurement Science & Technology, vol. 22, (2011).  T. Ioppolo, U.K. Ayaz, M.V. Ötügen, “Tuning of Whispering Gallery Modes of Spherical Resonators Using an External Electric Field,” Optics Express, vol. 17, 19, pp. 16465-16479 (2009).
  • 32. List of Publications (Continued..)  T. Ioppolo, U.K. Ayaz, M.V. Ötügen, “High Resolution Force Sensor Based on Morphology Dependent Optical Resonators Polymeric Spheres,” Journal of Applied Physics, vol. 105, 013535, (2009).  U.K. Ayaz, A. Kurt, A. Serpengüzel, “Silicon Microspheres for Electronic and Photonic Integration,” Photonics and Nanostructures- Fundamentals and Applications, vol. 6, pp. 179-182, (2008)  U.K. Ayaz, T. Ioppolo, M.V. Ötügen, “Micro-optical Wall Shear Stress Sensor for Fluid Mechanics Applications,” Progress in Electromagnetics Research Symposium, Prague, July 2015.  T. Ioppolo, U.K. Ayaz, V. Ötügen, “Force Sensors Based on the Whispering Gallery Modes of Dielectric Microspheres,” SPIE Photonics West conference, 24-29 January 2009, San Jose, California.  U.K. Ayaz, A. Kurt and A. Serpengüzel, “Silicon microspheres for integrated photonics” in “Proc. of the SPIE Symposia: Optoelectronic Integrated Circuits IX,” San Jose, California, USA, L. A. Eldada, E.-H. Lee, Eds, published by the SPIE, Bellingham, Washington, USA, 6476,6476061-6476062(2007).  A. Serpengüzel, A. Kurt and U.K. Ayaz, “Silicon microspheres photonics” in “Proc. of the SPIE Symposia: Photonic Materials, Devices, and Applications II,” San Jose, Gran Canaria, Spain, A. Serpengüzel, G. Badenes, and G. Righini, Eds, published by the SPIE, Bellingham, Washington, USA, 6593, 659301-659307(2007).  U.K. Ayaz, T. Ioppolo and M.V. Ötügen, “Direct measurement of wall shear stress in a backward facing step flow using a photonic wall shear stress sensor,” presented at the 65th Annual meeting of APS Division of Fluid Dynamics, 19-21 November 2012, San Diego, California.  D. Fourguette, M. Ötügen, L. Larocque, U. Ayaz, G. Ritter, “Optical MEMS-Based Seismometer,” Proceedings of the 2012 Monitoring Research Review, Sept. 18-20, 2012, Albuquerque, New Mexico.
  • 33. List of Publications (Continued..)  J. Stubblefield, D. Womack, T. Ioppolo, U. Ayaz, M.V. Ötügen, “Composite micro-sphere optical resonators for electric field measurement,” Proceedings of SPIE 8236, Feb. 2012.  U.K. Ayaz, T. Ioppolo and M.V. Ötügen, “High Resolution Micro-Optical Wall Shear Stress Sensor,” 49th AIAA Aerospace Sciences Meeting including The New Horizons Forum and Aerospace Exposition, 5-8 January 2011, Orlando, Florida.  T. Ioppolo, U.K. Ayaz, V. Ötügen: “Tuning of whispering gallery modes of polymeric micro-spheres and shells using external electric field.” SPIE Photonics West conference, 23-28 January 2010, San Francisco, California.  T. Ioppolo, U.K. Ayaz, M.V. Ötügen, “Performance of a Micro-Optical Wall Shear Stress Sensor Based on Whispering Gallery Mode Resonators,” 47th AIAA Aerospace Sciences Meeting including The New Horizons Forum and Aerospace Exposition, 5-8 January 2009, Orlando, Florida.  T. Ioppolo, U.K. Ayaz, V. Ötügen: “Whispering Gallery Mode Based Micro-Optical Sensor for Electromagnetic Field Detection,” AIAA InfoTech Aerospace Conference and Exhibit, April 2009, Seattle, Washington (oral presentation).  T. Ioppolo, U.K. Ayaz, V. Ötügen: “Performance of a Micro-Optical Wall Shear Stress Sensor Based on Whispering Gallery Mode Resonators,” 47th AIAA Aerospace Sciences Meeting and Exhibit, Orlando, Florida AIAA-2009-0314.  T. Ioppolo, U.K. Ayaz, V. Ötügen: “High-Resolution Whispering Gallery Mode Force Micro-Sensor Based on Polymeric Spheres,” 47th AIAA Aerospace Sciences Meeting and Exhibit, Orlando, Florida AIAA-2009-0314.  T. Ioppolo, U.K. Ayaz, V. Ötügen and V.A. Sheverev: “A Micro-Optical Wall Shear Stress Sensor Concept Based on Whispering Gallery Mode Resonators,” 46th AIAA Aerospace Sciences Meeting and Exhibit, January 2008, Reno, Nevada.  U.K. Ayaz and A. Serpengüzel, “Resonance Shifts in an Electrically Driven Silicon Microsphere,” Balkan Physics Union, 2006 August, Istanbul, Turkey (oral presentation).