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Purdue University - School of Mechanical Engineering
Title Design and Development of a Mid Infrared Glucose Sensor for DiabDesign and Development of a Mid Infrared Glucose Sensor for Diabeticsetics
InvestigatorsK. Kunjan (M.S.), Prof. Jay Gore, Prof. S.S. Krishnan
SponsorTRASK Innovation Award
Objectives: Build a prototype of a glucose monitoring device warranting commercialization, using the science of mid IR spectroscopy for detecting glucose in biological fluids.
Method: Design experiments, obtain proof of principle data and establish scientific & engineering feasibility on a prototypical unit
Results: Fundamental science of mid IR glucose spectroscopy established, bench-top experimental unit designed, built & tested successfully, stage set for further miniaturization & clinical trials
Aq. GlucoseUreaLactic Acid
-0.10
-0.05
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
0.50
Abs
orba
nce
5 10 15 Wavelength (µm)
FTIR Spectra of glucose in the presence of biological interferences
Bench-top experimental unit EU vs. Reference
y = x + 0.1R = 0.9515
0
50
100
150
200
250
0 50 100 150 200 250
Reference (mg/dL)
EU
(mg/
dL)
A
B
B
C
C
D
D
E
E
Pre-clinical Results laid on Clarke Grid
Purdue University - School of Mechanical Engineering
Aq. GlucoseUreaLactic Acid
-0.10
-0.05
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
0.50
Abso
rban
ce
5 10 15 Wavelength (µm)
Purdue University - School of Mechanical Engineering
Numerical Simulation of Gas-Phase Reaction Chemistry in Carbon Nanotube Synthesis
OBJECTIVETo simulate the chemical reactions in hydrocarbon+ hydrogen mixtures to estimate the concentrations of species responsible for the formation of CNTs in the presence of external energy input by plasma enhanced chemical vapor deposition (PECVD) method
METHODOLOGYSAMPR (Simple Analysis of Materials Processing Reactors) code has been used to simulate the chemical environment of CH4+H2 mixture with reaction mechanism containing 742 elementary reactions and 71 neutral and ionic chemical species
R. K. Garg, J. P. Gore, T. S. FisherRESULTH, C2H2 and CH3 are the major species formed, while C and CH are important only at higher levels of input plasma power
0 200 400 600 800 1000 1200
Mol
e Fr
actio
n
1e-7
1e-6
1e-5
1e-4
1e-3
1e-2
1e-1
1e+0
1e+1
C2H2
0 200 400 600 800 1000 1200
Mol
e Fr
actio
n
1e-7
1e-6
1e-5
1e-4
1e-3
1e-2
1e-1
1e+0
1e+1C2H4
0 200 400 600 800 1000 1200
Mol
e Fr
actio
n
1e-7
1e-6
1e-5
1e-4
1e-3
1e-2
1e-1
1e+0
1e+1
C2H6
0 200 400 600 800 1000 1200
Mol
e Fr
actio
n
1e-7
1e-6
1e-5
1e-4
1e-3
1e-2
1e-1
1e+0
1e+1
H
0 200 400 600 800 1000 1200
Mol
e Fr
actio
n
1e-7
1e-6
1e-5
1e-4
1e-3
1e-2
1e-1
1e+0
1e+1
H2
0 200 400 600 800 1000 1200
Mol
e Fr
actio
n
1e-7
1e-6
1e-5
1e-4
1e-3
1e-2
1e-1
1e+0
1e+1
CH4
0 200 400 600 800 1000 1200
Mol
e Fr
actio
n
1e-7
1e-6
1e-5
1e-4
1e-3
1e-2
1e-1
1e+0
1e+1CH3
0 200 400 600 800 1000 1200
Mol
e Fr
actio
n
1e-7
1e-6
1e-5
1e-4
1e-3
1e-2
1e-1
1e+0
1e+1C
Input Power (W)
0 200 400 600 800 1000 1200
Mol
e Fr
actio
n
1e-7
1e-6
1e-5
1e-4
1e-3
1e-2
1e-1
1e+0
1e+1
CH
Purdue University - School of Mechanical Engineering
A Theoretical and Experimental Study of Transient Fires
Objectives• Soot visualization and
measurement using Laser Induced Incandescence (LII)
• Spectral Radiation Intensity measurements using FIAS (Fast Infrared Array Spectrometer)
• Radiative Heat Flux measurements using Heat Flux Gauge
• Fire Dynamics Simulations of the transient flames. Validation of mathematical model using experimental data.
Principal Investigator : Prof. Jay P. Gore, Maurice J. Zucrow Laboratories, School of Mechanical Engineering, Purdue University, West Lafayette, IN-47907
Soot Volume Fraction measurements in a C2H4/air jet
flame using LIIppm
Figure 1: Instantaneous soot volume fractions
Figure 2: Averaged soot volume fractions
FDS simulations of 2-d line fires
0.001 0.01 0.1 1 10
100
1000
Z/Ql2/3 (m.kW-2/3)
∆T
(0 C)
EXP: b=0.05mEXP: b=0.015mFDS: Q=5 kWFDS: Q=25 kWFDS: Q=45 kW
0.001 0.01 0.10.1
0.5
1
1.5
Z/Ql2/3 (m.kW-2/3)
u/Q
l1/3 (
m.s-1
.kW
-1/3
)
EXP: b=0.05mEXP: b=0.015mFDS: Q=5 kWFDS: Q=25 kWFDS: Q=45 kW
Figure 3. Comparison of calculated temperature and velocities with experimental data*
*Yuan, L. and Cox, G., Fire Safety Journal, Vol. 27, pp. 123-139 (1996).
Purdue University - School of Mechanical Engineering
IR Detection, Diagnostics and ControlObjectives, •Non-intrusive flame diagnostics of temperature and species concentration distributions •Combustion diagnostics of cyclic pulse detonation process•Propulsion system diagnostics of commercial airliner Survivability
Fast Infrared Array Spectrometer(FIAS)
Method and Result
Purdue University - School of Mechanical Engineering
Oxygen and Fuel Jet Diffusion Flame Studies in Microgravity Motivated by Spacecraft Oxygen
Storage Fire Safety .
Objectives:Soot properties and radiation studies in microgravity (µ-g) and 1-g environments in two possible configurations –1. Oxygen enriched jet issues into fuel and
forming a reverse (inverse) diffusion (oxy-fuel) flame configuration, and
2. Fuel jet encounters an pure oxygen enriched environment and forms a normal diffusion flame configuration.
Experimental Facilities1. NASA Glenn Research Center.2. Combustion Laboratory , Maurice J.
Zucrow Laboratories, Purdue University, WL
3. Combustion facilities at Purdue School of Engineering and Technology, IUPUI
Computational ToolA two-dimensional axi-symmetric computational tool has been acquired by collaborating with Dr. V.R. Katta, Innovative Solutions Ltd, Dayton, OH. The capabilities to the tool will be enhances by addition of soot and radiation modeling.
PI: Dr. S.S. Krishnan, Assistant Professor, Department of Mechanical Engineering, Purdue School of Engineering and Technology, IUPUI, 23 W. Michigan Street, Indianapolis, IN 46202.
Co-I: Professor Jay P. Gore, School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907.Co-I: Dr. P.B. Sunderland, National Center for Microgravity Research, Cleveland, OH 44135.Sponsor: NASA, NCMR
Sample Results Experiments and Steady computations, performed for in 1-g and 0-g Ethane normal and inverse diffusion flames.
Radial Location (mm)A
xial
Loca
tion
(mm
)0 10 20 30 40
0
10
20
30TEMPERATURE(K)
45004000350030002500200015001000500
0
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
0 5 0 10 0 15 0z (mm)
CAS E 1
CAS E 2
CAS E 3
CAS E 4
CAS E 5
CAS E 6
CAS E 7
CAS E 8
CAS E 9
CAS E 10
CAS E 11
Temperature Vs. z (at r=0) CASE 11: Comparison between computational (right) and experimental (left) results.
Purdue University - School of Mechanical Engineering
FUNCTIONAL BREAST CANCER DETECTION USING CONJUGATE INFRARED IMAGING AND
MAMMOGRAPHY
• Computational Models– To evaluate thermography as aconjugate detection technique to mammography by simulating breast cancer imaging modalities.
• Enhancement - The thermal signature on the skin may be improved by novel techniques.
• Experimental -Thermography in controlled environments with instrumented phantom breast models.
OBJECTIVESOBJECTIVES
• Mammography – Low noise statistical methods for radiography simulations of normal and malignant breasts.
• Thermography -Bioheat transfer simulation of a heterogeneous breast with realistic properties and different boundary conditions.
• Conjugate Technique– Simulated and experimental infrared imaging plus mammography.
THERMOGRAPHYTHERMOGRAPHY FUTURE WORKFUTURE WORK
Gray Mean values of photon energy as
recorded by the digital detector
Simulated radiograph
MAMMOGRAPHYMAMMOGRAPHY
Dark tumor
Computational grid for a realistic breast
Thermal signature on the surface of malignant breast
Prof. Jay. P. Gore
Purdue University - School of Mechanical Engineering
Combustion Generated Noise: Kapil Singh(Sponsor : ONR)
ObjectivesInvestigate Effect of
–Swirler Configuration on Noise Production
–Partial Premixing on Jet Flame Noise
MethodsSingle, dual co-geometry and dual counter-geometry radial swirlers with 210 blade angle used. Generated sound measured using intensity probe over a range of Reynolds number (Re).
Starting from non-premixed flame, air was progressively added to the supply stream reducing the equivalence ratio from to < 4 while sound measurements were taken at various level of partial premixing.
0 2000 4000 6000 8000 10000
dB
0
20
40
60
80
100
Setup DataSingleCoflowCounter
dB
20
40
60
80
100
Frequency (Hz)
Flames
Air Jets
Nozzle: Throat Diameter (Dt) = 3.81 cm; Exit Diameter (De) = 8.64 cm
Fuel : CH4 ; φ = 0.98+−0.04 x/Dt = 1; r/Dt = 9
All with 210 blade swirlers
M0.05 0.075 0.150.1
dB60
70
80
90
100
r/D = 45; x/D = 30 D = 0.8 cm Flame
Ambient : 47 dB
Decreasing φ
Equal Fuel Mass Flow
M 5.00
φ=Inf.
φ=3.7
M ~ 4.5
φ=7.2
φ=5.6φ=3.2
φ=3.7
M ~ 4.14
H2(% in Fuel)C2H4/H2/AirC2H6/H2/AirCH4/H2/AirC2H4/H2/AirC2H6/H2/Air
19.0%19.0%
10.5%10.5%
19.0%Equal Fuel Volume Flow
ResultsSwirler configuration substantially affects the generated noise level and spectra for both reacting and non-reacting swirling flows. The sound pressure generated by methane partially premixed flames scales with M5 compared to M3 for turbulent non-premixed methane flames. Also, the sound pressure generated by partially premixed flames of ethane and ethylene scales as M ~4.5