new tools for measuring the reactivity of energetic...
TRANSCRIPT
New Tools for Measuring the Reactivity of Energetic Materials
L. Zhou, K. Sullivan, N. Piekiel, S. Chowdhury, M. R. Zachariah
www.enme.umd.edu/~mrz
Department of Mechanical EngineeringDepartment of Chemistry and Biochemistry
Support
6.80*10-24Reddy & Cooper, 1977
7.4*10-9 (for 10 nm rad. Particle) (not at 1200 C)
Campbell et, 1999 (MD)
5.45*10-21Oishi & Kingrey, 19608.41*10-27Reed & Wuensch, 1980
1.09*10-19Lessing & Gordon, 1977
Value at 1200 C, m2/sExpression of D, m2/sSource
)/543400(09.2 RTExpD −=
)/785840(104.6 1 RTExpD −×=
)/240768(109.1 12 RTExpD −×= −
)/608580(1066.2 2 RTExpD −×= −
Diffusion Coefficient of Oxygen in Alumina
Diffusion Coefficient of Al in Alumina
1.5*10-19 at 773 KGarcia-Mendez et al, 19801.2*10-8 (for 10 nm rad. particle) (not at 1000 K)
Campbell et, 1999 (MD)
4.1*10-35Gall & Lesage, 1994 Value at 1000 K, m2/sExpression of D, m2/sSource
)/849282(103.1 10 RTExpD −×=
Huge discrepancy in the transport properties in literature
1. New Ion-Mobility MethodsA. Ni OxidationB. Surface Energy of Zn
1. New “T-Jump Mass-Spectrometry” ApproachA. NitrocelluloseB. RDXC.High Nitrogen Organics
OUTLINE
We have new materials and materials classes, it thus stands to reason that we need new (EXPERIMENTAL) tools to study them.
Primary Question: What is the nature of nanoscale materials combustion.i.e. Architectures, Mechanisms and Scaling laws
How can we come to terms with the size dependence Issue ?
Characterizing Nanoparticles Using Ion-Mobility
• Prepare particles of known size,• Measure their size and mass, • Determine how it changes with time in a reacting system.
HVcarriergas Polydisperse
nanoparticles
Mono-Surface areaParticles
• A Differential Mobility Analyzer ( DMA) selects particles based on electrical mobility.
2
1
pp
drage
dEvelocitymobilityelectricalZ
FF
∝=≡
=
CHARGED
→← drage FF
70 nm Ag particles Deposited on Charged Substrate
Differential Ion-Mobility: Gas-phase Electrophoresis
Mass classified aerosol exit
Aerosol Particle Mass analyzer (APM)
Outer electrode
Z
Aerosol entrance
w
Inner electrode
r2r1High voltage
(Ehara et al., 1997)
Aerosol entrance
mr d r neEvetrue APMω π ρ ω2
32
6= =
Fundamental measurement of particle mass
High Voltage
qE
2ωmr
Another Approach: Measure Total Mass or Change in Total Mass
Nickel Nanoparticle Synthesis and Size-resolved Oxidation Kinetics Study
ωAPM
CPC
Computer
Neutralizer
Sintering Furnace~1100 oC
~ 25 - 1100 oC
Tube FurnaceIsothermal Reactor
Air 0.5 lpm
Electrostatic Particle Sampler
DM
A2
CO
Carry gas A
r
Dilution flow
Tube FurnaceIsothermal Reactor
~400oC~50oC
Ni(CO)4Nickel packed bed
DM
A1Ni particles 0.5 lpm
Neutralizer
-0.2
0
0.2
0.4
0.6
0.8
1
1.2
35 40 45 50 55 60
25oC 700oC1100oC500oC
Nor
mal
ized
Num
ber C
once
ntra
tion
Dp (nm)
Initial Size:40nm
-0.2
0
0.2
0.4
0.6
0.8
1
1.2
50 60 70 80 90
25oC 700oC1100oC500oC
Nor
mal
ized
Num
ber C
once
ntra
tion
Dp (nm)
Initial Size:62nm
-0.2
0
0.2
0.4
0.6
0.8
1
1.2
70 80 90 100 110 120
Nor
mal
ized
Num
ber C
once
ntra
tion
Dp (nm)
25oC 700oC1100oC500oC
Initial Size:81nm
-0.2
0
0.2
0.4
0.6
0.8
1
1.2
1 10-19 2 10-19 3 10-19 4 10-19 5 10-19
25oC
700oC
Mass (kg)
Nor
mal
ized
Num
ber C
once
ntra
tion
Initial Size:40nm
-0.2
0
0.2
0.4
0.6
0.8
1
1.2
4 10-19 8 10-19 1.2 10-18 1.6 10-18 2 10-18
25oC
700oC
Nor
mal
ized
Num
ber C
once
ntra
tion
Initial Size:62nm
Mass (kg)
-0.2
0
0.2
0.4
0.6
0.8
1
1.2
0 1 10-18 2 10-18 3 10-18 4 10
25oC
700oC
Nor
mal
ized
Num
ber C
once
ntra
tion
Mass (kg)
Initial Size:81nm
Tandem-DMA and DMA-APM ResultsD
MA
-APM
Tand
em-D
MA
0 200 400 600 800 1000 1200
40 nm62 nm81 nm96 nm
Ave
rage
Den
sity
(g/c
m3 )
Density of Ni
Density of NiO
Density of Ni2O
3
9
8
7
6
5
4
Temperature (oC)
from combination of both size ( TDMA) and mass change (DMA-APM)
The average density profile show a transition of Ni2O3 →NiO
Density
1
10
100
30 40 50 60 70 80 90 100
400 oC
500 oC
600 oC
700 oC
y = 0.0079 * x^(1.6) R= 0.96
y = 0.011 * x^(1.3) R= 0.89
y = 0.058 * x^(0.71) R= 0.82
y = 0.0013 * x^(1.4) R= 1
Bur
n Ti
me
(s)
Dp (nm)
1
10
100
30 40 50 60 70 80 90100
400 oC
500 oC
600 oC
700 oC
y = 0.0013 * x^(1.5) R= 0.88
y = 0.00095 * x^(1.8) R= 0.87
y = 0.00018 * x^(2.4) R= 0.96
y = 0.0022 * x^(2) R= 1
ΔM
/Δt x
10-1
6 (g/s
)
Dp (nm)
Mass rate Burn time
Burning Rate and Times
Ni Particle oxidation does not follow D2 => more like D1.4
Consistent with Al nanoparticle ~ D1.6 Combustion Theory and Modeling (2006)
Nickel Nanoparticle Oxidation Kinetics
Two different slopes show reaction regime and phase transition regime.
Smaller particles have smaller activation energy
Effe
ctiv
e D
iffus
ion
Coe
ffici
ent c
m2 /s
ec
Nickel Nanoparticle Oxidation Kinetics
Kinetically Ni is more reactive than AlAlthough releases less energy
Surface Energy Measurement of Nanocrystals
Al + MO => Some Experimental Results
0.09330270.011116412.6Fe2O3
0.07037080.01483111.8WO3
0.38626492.126.152.6SnO2
0.35830404.218.472.9CuO
GasMol Frac
T Ad
(K)
Pressurizationrate
(psi/usec)
Rise Time
(usec)
PressureRise (psi)
Pressurization Rate = Func ( Gas, T , dP? )
-The experimental pressure rise seems to correlate with the equilibrium gas prediction.Note: Rise Time is Drastically Different between CuO andFe2O3.
0
1
2
3
4
5
0% 20% 40% 60% 80% 100%
% WO3 by mole
Nor
mal
ized
Pre
ssur
izat
ion
Rat
e
0.00
0.05
0.10
0.15
0.20
0.25
0% 20% 40% 60% 80% 100%
% WO3 by mole
Mol
e Fr
actio
n
3000
3200
3400
3600
3800
Tem
pera
ture
(K) Al, AlO, Al2O
OWO, WO2, WO3ZnTotal GasTemperature (K)
Al + WO3 + ZnO ZnO is a very poor oxidizer.
But when added as a minor component can enhance combustion.
High Zn vapor concentration.
In general however we employ bulk thermodynamic properties.
Surface Energy and Nanocrystals
Surface energy and Nanocrystals:Surface energy plays an essential role in:- Melting- Coalescence- Evaporation and condensation.
Definition of surface energy:Surface energy is the energy required to create a unit area of new surface.
So What ?
While there are many theoretical studies on surface energy, there are only a few studies that reported the measured surface energy of nanocrystals.
Most experimental surface energy data stems from surface tensionmeasurement in the liquid phase and then extrapolate to solid.
=> At best this would give a result for a amorphous solid, not a crystal. [Vitos, et al., Surf. Sci., 186, 1998]
Why us:Our capability to manipulate small particles on the fly offers the opportunity to extract the surface energy from solid nanocrystals.
Experiment to Measure Surface Energy of Zn Nanocrystal
ωAPM
HEPA
DM
A
Exhaust flow
Zn aerosol 0.5 lpm
Zn NC Generation FurnaceIsothermal Reactor
~ 250 - 400 oC
Evaporation FurnaceIsothermal Reactor
~550oC
CPC
Neutralizer
Computer
TSI Particle Sampler
Excess flow
Carrier gas Ar~ 1 lpm
Experimental system for Zn, generation, size selection by DMA,evaporation and subsequent mass analysis with the APM.
TEM Images of Zn Nanocrystals
A. B.
C.
100nm mobility size Zn nanocrystals generated by condensation-evaporation method after DMA size selection
100nm
100nm
200nm
Basal planedepositionof Zn crystal
DMA-APM Measurement of Zn Nano-Crystal Evaporation
0
0.2
0.4
0.6
0.8
1
1.2
0.25 0.3 0.35 0.4 0.45
Room T250C275C300C325C350C375C400C
Nor
mal
ized
Num
ber C
once
ntra
tion
Particle Mass (fg)
Zn particle mass distributions for Zn evaporate at different temperatures
50 nm
For Zn, can detect a mass change < 0.01fg.
Uncertainty in precision for mass measurement ~ 2%
Onset Temperature of Evaporation
The onset temperature of evaporation is plotted against the inverse of theparticle size. The solid line is the least-squares fit to the experimental data
8
8.5
9
9.5
10
0 100 200 300 400 500
Part
icle
Mas
s (0
.1 fg
)
Temperature (C)590
600
610
620
630
640
650
0.006 0.008 0.01 0.012 0.014 0.016 0.018 0.02 0.022
y = 666.06 - 3537.1x R= 0.99
Ons
et te
mpe
ratu
re o
f eva
pora
tion
(K)
1/Dp (nm-1)
Kinetic Model
• Evaporation rate to the temperature dependent surface energy.
• Zn NC surface energies are calculated to be 11.2 and 16.1 J/m2
at 3750C and 350 0C, respectively.
2/11
)2()(
TkmppSv
dtdm
Bm
dm
πρα −
=
Where pd = vapor pressure of the condensing species given by Kelvin equation:
)4exp(RTd
Mpp sd ργ
=
The mass change rate of the Zn NC is given by:
Comparison of Kelvin effect calculatedfrom our data of surface energy for
Zn NC and reference data for bulk Zn
1
10
100
0 50 100 150 200
Particle Mobility Diameter
Pd/P
s
Surface energy=12J/m2
Surface energy=1J/m2
Particle Size (nm)
s
d
pp
1
10-
100-
Experimental surface energy
Bulk
0 50 100 150 200
Developing a new type of Mass Spectrometry/Optical Emission to
study Ultra Fast Solid-State Reactions
Developing a new type of Mass Spectrometry/Optical Emission to
study Ultra Fast Solid-State Reactions
“T-Jump Mass Spectrometry”“T-Jump Mass Spectrometry”
Develop new diagnostic tool to measure how new molecules fall apart and the chemical reaction times of energetic systems
A New Approach: T-Jump Mass Spectrometry/Optical Emission
I or RI or RI or R
Mass-Spec Optical Emission
Fine wire coated and rapidly heated
Basic Approach:
Coat wire with:• Organics, • Organics+ binder• Thermites,• Thermites + organics• Sputtered thin films• Etc.
Similar to Ed Dreizen
Photonsions
T-Jump Wire Ignition
Example of heating rate of 105 C/s
Wire temperature determined by resistance.
Ignition temperature ~ 800 C
Positively charged ions accelerated by electric field move up in time of flight tube to the detector
Detector Oscilloscope Computer
Electron Gun
• Temperature Jump T1 ~15 ms (5 ms ~ 100 ms adjustable)
• Cycle Time T2 ~1 ms (up to 5 us)
• EI Ionization Time T3 ~5 us (50 ns to 12 us adjustable)
•Rise and Fall time ~10 ns
Temporal Mass-SpectrometryCan generate Multiple Mass Spectrum from a single heating event
Linear Motion Feedthrough
Electron gun
Flight-tube
Gate valve
Coated Platinum Filament
T-Jump Mass-Spectrometer
0 10 20 30 40 50 60 70 80
T = 1.1 ms
T = 1.5 ms
T = 2.0 ms
T = 7.0 msT = 6.0 msT = 5.0 ms
T = 4.0 ms
T = 2.5 ms45
30
29
26
NO
T-Jump MS of Nitrocellulose
First:Mass 28 COMass 29 CHOMass 31 HNO Mass 45 HCO2
ThenMass 30 NOMass 46 NO2
NO2HNONO
HCO2
RO(NO)2 => RO + NO2RO + NO2 => ROO. + NOROO. => HCOO + R’
0
2
4
6
8
-2 0 2 4 6 8 10
Experiment 1Peak 27Peak 28Peak 29Peak 30Peak 31Peak 32Peak 45Peak 46
Time (ms)
-0.5
0
0.5
1
1.5
2
2.5
3
-2 0 2 4 6 8 10
Experiment 3 Peak 27Peak 28Peak 29Peak 30Peak 31Peak 32Peak 45Peak 46
Peak
27
Time (ms)
Nitrocellulose: Effect of Heating Rate
Low Heating Rate
High Heating Rate
400
600
800
1000
1200
1400
1600
0 10 20 30 40 50 60 70 8
Inte
nsity
(a.u
.)
m/z
0
200
400
600
800
1000
0 0.5 1 1.5 2 2.5 3
RDX Heating Temp
Tem
pera
ture
(deg
. C)
Time (ms)
1.0 ms
1.5 ms
2.0 ms
2.5 ms
RDX
Heating rate = 1.5 X105 C/s
Sample courtesy of R. Doherty, NSWC-IH
N=N
CH2
42
Products Mass
NO2 46
NO,or CH2O 30
N2 or CH2N 28
H2CN
N OO
H75 or 74
RDX
or N=C=O
No evidence for:CH3NHONON2O
CHO from CH2O 29
HCN 27
120 ( also seen by Y.T. Lee)
56
(NO2)-NCH2-NO2 + = RDX – NO2
Large signal
Large signal
+ 2 NO2
+
N2 + CH2
42CH2
CH2
CH2
74
CH2
O
Revised NO2 Dissociation PathwayRevised NO2 Dissociation Pathway
Goddard
R. Behren, Sandia will provide iosotopecally labeled RDX
N
N
N
N C
C
NO2
NO2
NO2
NH 2
CH
H 2H
1000
1200
1400
1600
1800
2000
0 10 20 30 40 50 60 70 80
1 ms
1.5 ms
2 ms
MIG-1
N
42
43
Sample provided byProf: Thomas KlapoetkeUniversity of Munich
N
N
N
N
NNO2
H
H
800
1000
1200
1400
1600
1800
2000
0 10 20 30 40 50 60 70 80
0.7 ms
1 ms
1.5 ms
2 ms Sample provided byProf: Thomas KlapoetkeUniversity of Munich
4356
HN=NH + N2
800
900
1000
1100
1200
1300
0 10 20 30 40 50 60 70 80
1.6 m s
2.0 m s
2.5 m s
btnm m oxam ide
46
42
45
28
29
30
31
32
18
Sample provided byProf: Thomas KlapoetkeUniversity of Munich
42
30
SUMMARY• New material types ( nanoscale materials, new molecules) may under some circumstances require specialized tools to characterize their fundamental properties and reactive behavior.
• Ion-Mobility: Here we demonstrate its applicability to the reactivity and surface properties of nanoparticles.
• T-JUMP Mass-Spectrometry: Opportunity to probe the reaction dynamics at fast time scales.
SURGEON GENERALS WARNINGIn the absence of experimental validation a modeling result if repeated often enough becomes a fact.
SURGEON GENERALS WARNINGIn the absence of experimental validation a modeling result if repeated often enough becomes a fact.
Particularly as it relates to new materials the ability to use computation exceeds the capability to implement experiments to elucidate microscopic properties and details.