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Determining the mean aggregate size of soot particles with the combination of light scattering and two-colour time-resolved LII
Determining the Mean Aggregate Size of Soot
Particles with the Combination of
Light Scattering and Two-Colour Time-Resolved LII
Sub-Task 3.4S
Gregory J. Smallwood and David R. Snelling
Institute for Chemical Process & Environmental Technology, National Research Council Canada Ottawa, ON, Canada K1A 0R6
International Energy Agency XXIX Task Leaders Meeting on Energy Conservation and Emissions Reduction in Combustion 2-7 September 2007, Gembloux, Belgium
Motivation/Objective
• Motivation
– details of the morphology of soot/black carbon aggregates are necessary to assess the health and environmental impacts of these nanoparticles
• Objective
– extend the capabilities of LII to include the determination of the mean number of primary particles per aggregate
Background
• laser-induced incandescence (LII) has become a well established technique for measuring soot concentration and primary particle diameter
• soot aggregate size (number of primary particles per aggregate) distributions are described by a lognormal function whose
distribution width is largely independent of the soot source and the (geometric) mean aggregate size
• due to the relative insensitivity of the distribution width it is
possible to determine mean aggregate size from a combination of absolute LII signals and near forward laser light scattering
TEM image of soot particles
sampled from a flame
Primary Particle Size
Distribution
• 385 measurements of primary soot particles • arithmetic mean diameter: D10 = 29.2 nm
• normal distribution fit: dm = 28.3nm and σd = 6.5nm 0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 10 15 20 25 30 35 40 45 50 dp (nm) Pr o b ab il ity
Aggregate Size
Distribution
• 3400 aggregates measured
• for a lower limit of Np>5: Ng=23.2, σ2g=4.15
1 10 100 1000 1E-7 1E-6 1E-5 1E-4 1E-3 0.01 0.1 1
Statistical result for N > 1 Lognormal fitting curve for N >1
Lognormal fitting curve for N > 5
Double lognormal fitting curve for N >1 P ro b a b ili ty
Approach
• modification of a typical 2-color time-resolved LII system allows simultaneous time-resolved measurement of 2-color LII and single-angle absolute scattering intensity from a 532 nm LII excitation source
• a single measurement can result in estimates of soot volume fraction, the primary particle diameter and the geometric mean aggregate size
• the mean aggregates sizes derived with this method depend on a knowledge of the ratio of the soot absorption and scattering
functions
• this in situ technique is applied to soot in a laminar diffusion flame • an enhanced technique that requires no knowledge of the
absorption or scattering function values, based on the ratio of forward to backward scattering, is also evaluated
AC-LII / Scattering
Apparatus
35º
Soot volume fraction
from 2-colour LII
calibration factor Tpe equivalent particle temperature
G amplifier gain we equivalent laser width
V potential m refractive index
C centre wavelength E absorption function
• the soot volume fraction (fv) derived from LII (or absorption) is
inversely proportional to the value of E(m) assumed
• the property determined by LII is the product of soot volume fraction and the absorption function
2 1 6
12
1
C pe C EXP v h c k T b EXP CV
f
c h
m
w G
E
e
Absolute LII Signals
0 500 1000 1500 2000 1 108 1 109 1 1010 1 1011 1 1012 Time (ns) L II s ig n a l (w a tt/m *3 ·s te ra d ia n ) 400 nm 780 nm 0 500 1000 1500 2000 1 108 1 109 1 1010 1 1011 1 1012 Time (ns) L II s ig n a l (w a tt/m *3 ·s te ra d ia n ) 400 nm 780 nm 400 nm 780 nm0 500 1000 1500 2000 1500 2000 2500 3000 3500 4000 4500 Time (ns) T e m p e ra tu re (K )
Real-time Temperature
soot temperature exponential fitSoot scattering theory
– I
• based on Rayleigh-Debye-Gans Polydisperse Fractal Aggregate (RDG-PFA) theory
• aggregate differential scattering cross section:
N number of primary particles
dp primary particle diameter
S(q,Rg) structure factor
• scattering vector, q( ):
• fractal radius of gyration, Rg:
4 6 2 4
,
4
p ag gd
F m
N
S q R
4
sin
2
q
1 f D g p fN
R
d
k
Soot scattering theory
– II
• structure factor is calculated numerically using the confluent
hypergeometric approach of Sorensen, which assumes a Gaussian fractal cut-off
• for a distribution of aggregates the scattering cross section must be integrated over the appropriate distribution function
• lognormal distribution:
Ng geometric mean aggregate size
σg distribution width
• to derive Ng from the ratio of soot scattering to LII intensity and the
known soot scattering and absorption functions we must assume a distribution width σg 2 ln ln exp 2 ln , , ln 2 g g lognorm g g g N N P N N N
Soot scattering theory
– III
• Sorensen has shown that a self preserving or scaling distribution gives a more accurate description of the higher moments that describe scattering than does a lognormal distribution
• a self preserving distribution is theoretically predicted from solving the aggregate coagulation equations over a wide range of
conditions
• an aggregating system develops a self preserving scaling distribution.
• lognormal distribution moments with a width ~2.5 are in best
agreement with the scaling distribution up to the 3rd moment
• experimental evidence of flame soot σg ~2.6, used for subsequent
Volumetric scattering
coefficient
• the soot volume fraction from LII is inversely proportional to the value of
E(m) assumed at the LII wavelengths
• this allows substitution of the requirement to know the relative value of
E(m) from 400 to 780 nm and the ratio F(m)/E(m) at 532 nm for a
knowledge of the absolute values of the coefficients
• the F(m)/E(m) ratio for soot in wide variety of flames has been summarized [3], with F(m532)/E(m532) = 1.1
• E(m) is assumed constant from 400 to 780 nm
4 6 6 532 2 3 4 2 1 10 , , , 4 exp 0.5ln 6 p v vol ag ag lognorm g g g p g g d F m f C N P N N N S q R dN d N 4 6 6 532 2 532 3 4 2 532 1 10 , , , 4 exp 0.5ln 6 p v vol lognorm g g g p g g d F m f E m C P N N N S q R dN d E m N
Forward and backward
scattering coefficients
• the volumetric scattering coefficient is shown for forward
scattering (35 deg, upper curve) and backward scattering (145 deg, lower curve) for three independent experiments
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 0 5 104 1 105 1.5 105 2 105 2.5 105
Experimental volumetric scattering coefficient
Fluence (mJ/mm2) V ol u m e tr ic s c a tt e ri n g c oe ff ic ie n t ( /m )
Forward-to-backward
scattering ratio
• the forward-to-backward ratio gives an independent estimate of aggregate size and requires no knowledge of the scattering
function 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 2.5 3 3.5 4
35 deg. to 145 deg. scattering ratio
Fluence (mJ/mm2) F or w a rd t o b a c k w a rd s c a tt e ri n g r a ti o
Numerical prediction
–
I
– given a primary particle size of 29 nm (from LII and TEM) and an average measured low fluence 35 degree volumetric scattering coefficient/soot volume fraction ratio of 1.91·105, the predicted N
g
~ 18
Numerical prediction
–
II
• the 145 deg volumetric scattering coefficient/soot volume fraction is insensitive to Ng but varies with dp
– the measured values of 5.81·104 and N
g=18 gives dp ~ 28 nm, in
good agreement with LII and TEM
Numerical prediction
–
III
• for a measured experimental forward/backward ratio of 3.25 and
dp=29 nm, Ng ~19
Summary of results
• forward scattering and LII soot volume fraction give Ng ~18
• forward to backward scattering ratio gives Ng ~19
• TEM gives Ng ~21
Conclusions
• an estimate of the mean aggregate size of an assumed lognormal distribution of aggregates can be derived based on the ratio of
laser scattering to LII signal
• these values are in agreement with those obtained from forward to backward scattering ratio and TEM