-------
PROBE
PORT
CONDENSERS
ICE BATH
ANDERSEN OR PILAT
AIR
Hg MANOMETER
DRYING
COLUMN
COOLING COIL
MANOMETER
TO
VENT
Figure 5. Brink impactor samnling train using a calibrated orifice flowmeter.
-------
cool and dry the sampled gases after the impactor. For long sampling
times, or where there is high water content, a series of condensers in
an ice bath is useful for removing the water. A drying column and
cooling coil are recommended to follow the condensers. Different size
orifices (such as 0.03, 0.06, and 0.09 inches) allow for a wide range of
flow rates with reasonable pressure drops using a water manometer. A Hg
manometer is placed upstream of the orifice to determine the pressure at
the inlet to the orifice. Orifice calibration calculations are included
in Appendix A.
Brink Clean-up -- Careful disassembly of a Brink impactor is
necessary for obtaining good stage weights. If a precollector cyclone
has been used, all material from the nozzle to the outlet of the cyclone
is included with the cyclone catch. All of this material should be
brushed onto a small, tared, 1x1 inch aluminum foil square to be saved
for weighing. Cleaning the nozzle is also important, especially if it
is a small bore nozzle. All material between the cyclone outlet and the
second stage nozzle is included with material collected on the first
collection substrate. All appropriate walls should be brushed off, as
well as around the underside of the nozzle, where as much as 30 percent
of the sample has been found.
7.2 ANDERSEN IMPACTOR
The Andersen impactor is a relatively high sample rate impactor.
Normal samples rates are about 0.5 acfm. The information below is
specific to the operation of the Andersen impactor.
Sampling Rate -- The Andersen sampling rate is about 0.5 acfm. As
with other cascade impactors, the flow rate must be low enough to prevent
re-entrainment of impacted dust.
Collection Substrates and Adhesives -- Andersen substrates are
obtained precut from the manufacturer. The substrates are glass fiber
and of two types—one cut for the odd numbered stages, one for the even.
As discussed earlier, normal Andersen substrates have a tendency to
absorb S02 on basic sites in the substrate and therefore gain weight.
The manufacturer has recently made substrates from a less reactive fiber
material, and an effort should be made to obtain these if an S02 stream
is to be sampled.
22
-------
Back-up Filter -- The Andersen uses a 2-1/2 inch diameter disk
placed above the final F-stage. The filter should be cut from binder-
less glass fiber filter material such as Gelman Type A Glass Fiber
Filter Web or a material similar but resistant to SCL weight gain.
Andersen Sampling Train -- The Andersen sampling train is similar
to the Brink system except for higher flow capacity in the pumping and
flow measurement devices. Figures 6 and 7 are examples of high sampling
rate trains. The pumping and metering systems of the commercial Method
5, EPA mass sampling train can also be used with the Andersen.
Care should be exercised never to allow a gas flow reversal to
occur through the impactor. Material could be blown off the collection
substrate onto the underside of the jet plate or the collection substrates
could be disturbed. A check valve or maintenance of a very low form
while removing the impactor from the duct avoids this problem.
Andersen Clean-up -- Cleaning an Andersen impactor is difficult.
Foils should be cut to hold the substrates, and each foil and substrate
weighed together before and after the run. For disassembly, the foil to
hold the stage 1 substrate should be laid out. Next the nozzle and
entrance cone should be brushed out and onto the foil. Then the material
on stage 0 should be brushed onto the foil. The stage 1 filter substrate
material should then be placed on the foil and, lastly, the top of the
stage 1 plate 0-ring and cross piece should be brushed off. Depending
on how tight the impactor was screwed shut, some filter material may
stick to the 0-ring edge contacting the substrate. This should be
carefully brushed onto the appropriate foil. This process is continued
through the lower stages. Finally, the filter is carefully removed.
7.3 UNIVERSITY OF WASHINGTON MARK III (PILAT) IMPACTOR
The Pilat impactor is a high flow rate device with generally the
same characteristics as the Andersen. The information below supplements
that in the text.
Sampling Rate -- The Pilat sampling rate is on the order of 0.5
acfm. The flow rate must be low enough to keep scouring of impacted
particles to a minimum.
Collection Substrates and Adhesives -- The Pilat Mark III has often
been used with supplementary foil (aluminum or stainless steel) substrates.
23
-------
CONDENSERS
rss
DRYING
COLUMN
ANDERSEN OR PILAT
FLOW •
Figure 6. Andersen or Pilat sampling train with recirculation.
-------
ro
en
PROBE
IMPACTOR
AIR
FUOW
f-
PORT
DRYING
COLUMN
TEE
7
Hg MANOMETER
METERING
ORIFICE
XZt
COOLING COIL
PUMP
VENT
H20 MANOMETER
Figure 7. Typical Andersen or Pilat train using calibrated orifice and dry gas meter
-------
These substrates require the use of grease for most cases. Enough of
the grease solution is placed evenly on the substrate to adequately
cover the area under the jets (30 mg of grease). The normal cautions
for the use of greased substrates apply as discussed in the text.
. Pi!at Sampling Train -- As the Pilat is a high flow rate device,
its sampling train is similar to that of the Andersen. Figures 6 and
7 show examples.
Pilat Clean-up -- Pilat impactor clean-up is similar to that for
the Brink. Some problems have been noted with 0-rings sticking rather
tenaciously and care must be exercised not to dislodge the sample while
trying to separate the stages. .
26
-------
8.0 DATA ANALYSIS
8.1 CASCADE IMPACTOR DATA'ANALYSIS
The information directly available from a cascade impactor is
weight of particles on a stage. There are several ways to analyze and
present this data as particle size distributions and fractional
efficiencies. The increasing interest in participate information has
made it important that the data be analyzed using a standard method.
Two methods are discussed below: the D5Q method and the Picknett method.
8.2 D50 METHOD
The D50 method is presently used for the majority of cascade im-
pactor data reduction. The method is fairly straight forward and can be
hand-calculated, but it is a considerably simplified picture of the real
distribution and can cause a loss of information.
The Dcg of a stage is the particle diameter at which the stage
achieves 50 percent,efficiency; one half of the particles of that
diameter are captured and one half are not. Figure 8 shows a complete
set of theoretical capture efficiency curves for a modified Brink
impactor. The D^g of stage 4, for example, is about 1.2 ym. The cal-
culation of theoretical stage DCQ'S is discussed below.
The DCQ analysis method simplifies the capture efficiency dis-
tribution by assuming that a given stage captures all of the particles
with a diameter equal to or greater than the D™ of that stage and less
than the DSQ of the preceding stage. With this simplification, the mass
collected on a given stage can be assigned to a particular diameter;
often the geometric mean of the stage DrQ and the preceding stage D™ is
used.
Particle-size distributions may be presented on a differential or a
cumulative basis. When using the D™ method, either type of presentation
may be easily employed.
The size parameter reported can be either aerodynamic diameter
(that is, diameter based on the behavior of unit density particles) or
approximate physical diameter, which is based on an estimate of the true
particle density. In either case, the particles are assumed to be
spherical. The method of reporting diameters depends to a large extent
upon the ultimate use of the size distribution information. For this
reason it is suggested that the data be reported in two parallel sets:
27
-------
0.01 0.1 0.5 I 2 5 10 20
80 90 95 98 99 99.9 99.99
COLLECTION EFFICIENCY, percent
Figure 8. Stage collection efficiency for a modified Brink impactor
(T=72°F, P=29.60 in. Hg. P=1.35 g/cm3, flow = 0.03 acfm).
28
-------
one set based on aerodynamic diameters; the other based on approximate
physical diameters.
8.3 CALCULATION OF STAGE D5Q'S - D5Q METHOD
The reduction of field data obtained with a cascade impactor can
sometimes be troublesome and time consuming because of the computations
involved. The basic equation that defines the theoretical D5Q of a
given stage of a cascade impactor is:
(1)
= i -AV * in '..•.-'-• i ^ '
1.43 10
where:
(-0.44 D5Q x 10"4
1.23 + 0.41 exp (— —r ) 1 (2)
D50 x 10 '
DCQ = stage cut point, ym
iam = viscosity of air at conditions immediately downstream
of impactor jet(s), poise
DC = diameter of impactor jet(s), cm
PS = absolute pressure just upstream of 'jet(s'), in. Hg
PQ = absolute pressure in stack, in. Hg
X(I) = number of holes in stage
p_ = density of particle, g/cm
Qr = flow rate through impactor, acfm
C = Cunningham Correction Factor
L = mean free path of air molecule i cm
While these equations can in principle be solved rigorously when
necessary, it is usually easier to solve them by trial and error.
29
-------
One approach that can be used to further simplify the computations
is to develop curves for the impactor stage cut points at one set of
conditions; e.g., air at standard conditions and a particle density of
1.0. Then a suitable correction factor can be applied to these curves
for the actual sampling conditions. Unfortunately, further .simplifi-
cations are involved in making the correction factor simple enough to be
of value. Therefore, the use of this type of approach suffers from some
restrictions. Figure 8, presented earlier, shows a calibration for dry
air at laboratory conditions with an assumed particle density of 1.35
gram/cm .
All of the assumptions and calculations involved in going from
equations (1) and (2) to the calibration curve can be quite awkward,
particularly in cases where different types of sources are being sampled.
Perhaps the best approach is to write or obtain a computer program based
on the rigorous equations given initially. The program can not only
calculate impactor stage cut points but can also compute concentrations
of particles in each size range, as well as differential and cumulative
size distributions. It permits more sophisticated data reduction
methods to be used than would be possible by hand. Manual calculation
of cut points typically takes several hours. Using a computer program,
several sets of data can be calculated in a few minutes. Not only is
the computer faster but the possibility of computational errors is
greatly reduced.
In summary, there are basically two ways that the computational
difficulties associated with using the cascade impactor can be overcome.
Where basically the same types of sources are being sampled, the calibration
curve approach will work very well; however, in the general case where a
wide variety of different types of sources are being sampled, the
simplest approach is to use a computer program based on a rigorous
solution of the cascade impactor equations.
8.4 DIFFERENTIAL PARTICLE SIZE DISTRIBUTIONS - D5Q METHOD
It is assumed for the purpose of analysis that all of the mass
caught upon an impaction stage consists of material having aerodynamic
diameters equal to, or greater than, the D5Q for that stage, and less
30
-------
than the D5Q for the next higher stage. For the first stage (or cyclone),
it is assumed that all of the material caught has aerodynamic diameters
greater than, or equal to, the D™ for that stage (or cyclone), but less
than the maximum particle size. If the maximum particle size is not
known, some arbitrary large value, say 100 ym, is used.
If the true particle-size distribution constituted a continuum, the
amount of material having diameters between D and D+dD could be repre-
sented by dM. Then the integral
^ dD
dD dD
would yield ther total mass having diameters between D-, and D2>
Because the intervals between the stage D50's are logarithmically
related, and to minimize graphical scaling problems, the differential
particle size distributions are plotted on log-log or semi-log paper
with dM/d (log D) as the ordinate and log D as the abscissa. The mass
on stage "n" is designated by AM and is, in approximation, the mass of
particulate with diameter between (D5Q) and (D50)n+i. The A(log D)
associated with AMn is log (DsgL+i - log (D™) . Using these
approximations, the derivative term associated with stage "n" is:
AM '
,„,,/,„ nN I Mass on Stage "n"
dM/d"°9D)ln ' A(logD)| - log(D) -9,og(D5(,)n
Plotting this approximation of dM/d (log D) versus log D results in
a histogram. From such a histogram, the total mass of particles with
diameters between (D50)i and (D50h can be calculated as the sum:
where "a" takes on values corresponding to the discrete increments of the
histogram.
31
-------
If an impactor with an infinite number of stages were available,
the histogram would approach a continuous function, the A(log D50) terms
would approach d(log D), and the mass between Dm and Dp could be cal-
culated as:
D>
Such an impactor does not exist, but the histogram can be plotted as a
smooth' curve by assigning some average of (D50)n+-| and (D5Q)n to the
AM/Alog DgJ term. The geometric mean of the D5Q's is often used. This
curve is then a continuous function approximating the actual particle
size distribution. Such a curve is needed to calculate fractional
efficiencies of control devices if the D50's differ for inlet and outlet
measurements. The accuracy of the approximation is limited by the
number of points, and by the basic inaccuracy of neglecting the non-
ideal behavior of the impactors, especially overlapping collection
efficiencies for adjacent stages.
8.5 CUMULATIVE PARTICLE SIZE DISTRIBUTIONS
The data may be presented on a cumulative basis by summing the mar.s
on all the collection stages and back-up filter, and plotting the
fraction of the mass below a given size versus size. This is frequently
done on special log-probability paper. This paper may be preferable for
interpretation, especially if the distribution is not log-normal.
Cumulative distributions suffer from a couple of disadvantages when
compared to differential distributions. An error in stage weight will
be propagated throughout a cumulative analysis, but will be isolated by
the differential approach. Differential analyses made of data taken
over different size ranges can be compared, while cumulative plots of
the same data may not be comparable because of differences in starting
points.
When cumulative plots are used, the abscissa is the logarithm of
the particle diameter and the ordinate is the percentage smaller than
this size. The value of the ordinate at a given (D50)n would be
32
-------
Percent less than stated size = — x 100%
AM
£
£=0
where
£ = o corresponds to the filter,
i =-n corresponds to the stage under study, and
£ = N corresponds to the coarsest jet or cyclone
An analytical curve can be fitted to the cumulative distribution
obtained above, and values of dM/d(log D) obtained by differentiation of
the analytical expression. In general this requires some a priori
assumptions in determining the form of the expression to be used in the
curve fitting process, but several independent groups have used this
technique to good advantage.
In spite of the shortcomings of the D™ method, it is attaining
widespread use, partly because of the difficulty in establishing a
better procedure. It is recommended that the D™ method be used,
temporarily, and that the results be reported uniformly as dM/d(log D)
versus D in micrometers. For convenience, this data is usually plotted
on log-log paper in units of milligrams per dry standard cubic meter
3 • ' ' ' ' '
(mg/dsm ). Both aerodynamic and physical diameters should be presented
in each case.
8.6 PICKNETT METHOD
The Picknett Method is an alternate approach to particulate data
analysis which approximates an actual particulate stream as a combination
of monodispersed aerosols. The amount of each monodispersed aerosol is
weighted so that the aggregate, if passed through an impactor, would be
collected with the same mass fraction per stage as is the actual particu-
late stream. The capture efficiency with respect to diameter of each
stage of the impactor must be known to use this approach. The discussion
33
-------
presented below is introductory, and the reader should refer to the
literature for a detailed discussion of the method (see Bibliography).
A given disperse aerosol, when directed toward the stage of an
impactor, is partially retained. The fraction captured depends on the
size distribution of the aerosol and the statistical capture efficiency
of the stage; few of the smallest particles will be retained while most of
the largest will be. As can be seen from Figure 8, a monodisperse
aerosol which strikes the stage of an impactor is also only partially
retained. For instance, only 50 percent of a 1.2 ym particulate stream
would be retained by the Brink stage 4. If 50 percent of an arbitrary
disperse aerosol was also retained by stage 4, a rough estimate of the
dispersed aerosol particle size would thus be 1.2 ym. This principle
can be extended by considering two monodisperse aerosols whose diameters
bracket the diameter of the single monodispersed aerosol. Continuing
the example above, the two monodisperse aerosols (with diameters "d<"
and "d>") can be arbitrarily chosen as 1.0 ym and 1.5 ym in diameter.
From Figure 8, the capture efficiencies at these diameters are, respectively,
0.25 ("E<") and 0.87 ("E>"). The relative mass frequencies of the two
aerosols, which must add to 1.0, are "f<" and "f>". The total combination
of the two monodisperse aerosols is assumed to be retained in the same
fraction as the dispersed aerosol; in this example, one half of the
aerosol must be captured.
(f<)(E<) + (f>)(E>) =0.5.
As stated above:
(f<) + (f>) = 1.0
Solving these two equations, we find that the fictitious combination of
1.0 ym and 1.5 ym monodispersed aerosols must contain about 40 percent
of the 1.5 ym aerosol and about 60 percent of the 1.0 ym aerosol in
order to model the dispersed aerosol.
Picknett has extended this principle to cascade impactors. An
aerosol's behavior in an impactor with n stages is modeled with n+1
34
-------
fictitious monodisperse aerosols. As part of the given aerosol is left
on each stage in a cascade impactor, only that aerosol which reaches the
next stage is considered in calculating the collection efficiency.
The Picknett method provides the mass frequencies of a group of
fictitious monodisperse aerosols equivalent to the actual disperse
sample. This information can then easily be converted to cumulative
mass data. If desired, the continuous cumulative mass function can then
be differentiated to achieve a differential distribution.
8.7 COMPARISON OF THE D5Q AND PICKNETT DATA REDUCTION TECHNIQUES USING
REAL AND SIMULATED STAGE LOADINGS
In investigating data reduction techniques it is difficult to
separate inaccuracies in the theory and errors introduced by re-entrain-
ment, bounce, scouring, and poor calibration of the impactors. This
problem can be eliminated by simulating the capture of a fictitious
aerosol using the efficiency curve shown in Figure 8. Once the stage
loadings are calculated, this data is used to recalculate a particle-
size distribution, using either the DSQ or Picknett method, which should
ideally be identical to the fictitious input distribution.
Figure 9 is a test of both the D™ and Picknett techniques, using a
fictitious aerosol. The zero through 6 stages of the Brink impactor
were used, and cyclone Co, as shown in Figure 8.
It can be seen that both methods give very nearly correct values
for the mass median diameter. The Picknett method is much better at
the large particle end, because the D™ method does not account for the
fact that the cyclone collects some particles which would otherwise
reach the upper stages. The Picknett method does take this overlap in
collection efficiencies into account, and gives a good "average" of the
distribution, smoothing out the abrupt steps.
Figure 10 shows true and calculated particle-size distributions
using actual experimentation stage loadings. An 8.3 ym diameter
ammonium fluorescein aerosol was generated using a vibrating orifice
aerosol generator. About 4 percent of the particles were found to be
doublets (8 percent of mass). This time, we see that neither method
approximates the real distribution accurately, although the Picknett
method gives a good mass median diameter and better approximates the
true size distribution than does the D™ method.
35
-------
OJ
3 10
PARTICLE DIAMETER, um
100
Figure 9. Simulation of a continuous particle size distribution.
-------
1.0 . 10.0
PARTICLE DIAMETER, v™
Figure 10. Comparison of D™ and Picknett methods,
37
-------
In summary, the Picknett method has some advantages over the
DCQ method. It tends to give a more accurate model of the test
aerosol. However, the D50 method is easier to use and can handle
data which is somewhat scattered. The D™ method is also widely used
and understood. If the Picknett method proves superior, then it, or a
similar technique, should ultimately become the standard. The D™ method
will probably continue to be useful as a quick way to get approximate
results in the field.
38
-------
9.0 BIBLIOGRAPHY
1. Picknett, R.G., "A New Method for Determining Aerosol Size Distributions
from Multistage Sampler Data," Aerosol Science, 1972, Vol.3, pp.185-
198.
2. Smith, W.B., K.M. Gushing, and J.D. McCain, "Particulate Sizing
Techniques for Control Device Evaluation," Environmental Protection
Technology Series, EPA-650/2-74-102, October 1974.
3. Smith, W.B., K.M. Cushing, and G.E. Lacey, "Andersen Filter
Substrate Weight Loss," Environmental Protection Technology Series,
EPA-650/2-75-022, February 1975.
4. Smith, W.B., K.M. Cushing, G.E. Lacey, and J.D. McCain, "Particulate
Sizing Techniques for Control Device Evaluation," Environmental
Protection Technology Series, EPA-650/2-74-102-a, August 1975.
39
-------
40
-------
APPENDIX A
BRINK ORIFICE CALIBRATION
The use of a calibrated orifice to monitor the impactor flow rate
involves the following equation, giving the pressure drop across the
orifice water manometer:
/ \ 9 D^ T T
I 01 I , • -.2 s ° f , MM x
Ap = Ap0 I VL I (i . p y^ § —_I— ( "rc )
\ c / 2 ° c TS
AP .= calibrated orifice pressure drop, in. H^O
AP0 = pressure drop at which orifice calibrated, in. H20
QI = impactor flow rate chosen for isokinetic sampling,
Q = calibration flow rate for orifice
FU n = volume fraction of water in the stack gas
H2u
P_ = ambient stack pressure ?„ = P, + [AP,.], in. Hg.
s s a s
PO = pressure upstream of orifice referred to ambient, in. Hg
PC = ambient pressure when orifice calibrated, in. Hg
TO = temperature of orifice, °R
Tf = temperature of the orifice when calibrated, °R
T = stack gas temperature, °R
MM = mean molecular weight of flue gas
MA = mean molecular weight of air
To monitor impactor flow rate with a dry gas meter either individually
or in conjunction with a calibrated orifice, the following equation pertains:
T- -r- " - FH?O>
s a L.
41
-------
Q = flow rate indicated by the dry gas meter, acfm
Q = flow rate through the impactor at stack conditions, acfm
Ta =? temperature of metered air, °R
T = stack gas temperature, °R
P3 = ambient pressure upstream of the meter, in. Hg
a
P = ambient stack pressure, in. Hg
. -I '
FM Q - volume fraction of water in stack gas
42
-------
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45
-------
COST ESTIMATING DATA SHEET
Quote No._
Job No.
_Client_
Date
Location
Purpose of Test_
Type of Test - Particulate_
Gases
Particulate Sizing_
Auxiliary Analysis
PERSONNEL
COST ESTIMATING - PROFESSIONAL SERVICES
Chemist/Engineers
Meteorologist
Project Director
Superv. Engr.
$
/Hr.
$
/Hf.
Hrs.
Cost
Hrs.
Cost
Total Cost
1. 0 Pre-Survey
1. 1 Travel Time
No. of Men
2. 0 Consulting
3. 0 Preparation of
Test Protocol
4.0 Preparation, Pack-
ing & Clean-up
4. 1 Construction
Special Test Equip.
5. 0 Project Planning
6. 0 Field Test
6.1 Travel Time
No. of Men
7. 0 Lab Analysis
8. 0 Calculations &
Report Writing
9. 0 Consulting &
Design
10.0
11. 0 Total
-
'""''" n - - \
H •£ r u
Out-of-Pocket Cost
(See next page)
TOTAL COST
Form M-014-8/73
46
-------
Appendix C (Cont.)
Quote No._
Job No.
Client
Date
Location
COST ESTIMATING OUT-OF-POCKET EXPENSES
2.
3.
5,
6.
7.
8.
9.
10.
11.
12i
Air Fare
Air Fare_
Air Fare
Round Trips
men
Round Trips i> $
men
_R
-------
APPENDIX D
PRELIMINARY SURVEY
Name of Company
Address
Plant Telephone Number
Description of Process
Date of Survey
Contacts
City
Title
State
Title
Title
FTS Number
Operating Schedule of Process
Batch or Continuous Process __
Feed Composition and Rates
Type of Fuel
Production Rate
Description of Air Pollution Control Equipment and Operation
Safety Hazards
48
-------
Appendix D (Cont'd) Page 2 - Preliminary Survey
Assumed Constituents of Stack Gas for Each Sampling Site
Possible Testing Sites (1)
(2) __________
(3)
(4)
Can Samples be collected of:
a. Raw Materials
b. Control equipment
effluent
c. Ash
d. Scrubber water
Signature Required on Passes
Best Time to Test
e.
f.
g.
Product
Fuel
Other
Waivers
Are the
a
b.
c.
d.
e.
f.
g.
Following Available at the Plant?
Parking Facilities
Electric Extension
Cords
Electrician
Safety Equipment
Ice
Acetone
Distilled water
i.
j.
k;
1.
. m.
n.
0.
Clean-up Area
Laboratory
Facilities
Sampling Ports
Scaffolding
Rest room
Vending Machines
Rope
h. Weighing Balance
49
-------
Appendix D (Cont'd) Page 3 - Preliminary Survey
1) Electricity Source
a. Amperage per circuit
b. Location of fuse box _
c. Extension cord lengths
d. Adapters Needed:'-
4)
5)
2) Safety Equipment Needed
a.
Hard hats
b. Safety glasses
c.
3) Ice
a.
b.
Goggles
Vendor
6)
Location ______
Acetone
a. Vendor •
b. Location '
c. Telephone "
Sampling Ports
a. Who will provide
b. Size opening
Scaffolding
a. Height
b. Length
c. Vendor
Address
Telephone
Quantity
d. Safety shoes
e. Alarms
f. Other
Welder:
50
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Appendix D (Cont'd) Page 4 - Preliminary Survey
7) Motels:
a. ' Phone
b. Phone
c. Phone
8) Restaurants:
a. Near Plant
Rate
Rate
Rate
b. Near Motel
9) Airport Convenient to Plant
Comments:
Distance
Survey By:
51
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APPENDIX E
STACK DATA SHEET
Properties of -
Sampling Locations
Purpose of stack
Height, ft.
Width, ft.
Length, ft.
Diameter, ft. I.D.
Wall thickness, in.
Material of construction
Ports: a. Existing
b. Size opening
c. Size of
platform
Straight stack run
before port, ft.
Type of restriction
Straight stack run
after port, ft.
Type of restriction
Environment
Work space
Ambient temp. , °F
Avg. pitot reading
in. H00
Stack velocity, ft/min
SCFM
Moisture % by volume
Stack temp. °F
Particulate loading
gr/SCF
Particle size
Stack pressure
in. Hg
Water sprays
Dilution air
Elevator
Stack #1
"
Stack #2
Stack #3
Stack #4
52
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Appendix E (Cont'd) Page 2
Sketch of Stack to be Sampled Showing Locations of Port Openings, Water
Sprayers, Flow Interferences, Dilution Air Inlets, and Scaffolding or
Platform Erection Dimensions.
53
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APPENDIX F
SAFETY CHECKLIST
Date-
Company
Location
A. MEDICAL:
1) Plant first aid available (yes/no)
If available give location of unit and telephone number
2) Phone number for ambulance
3) Phone number for hospital
4) Comments:
B. TEST SITE CHECKLIST: Check if OK.
1) Ladders:
General conditions ', rest stops _, cage
Comments:
2) Scaffolds/Platforms:
General conditions , guardrails
toeboards . , screening
Comments:
C. PERSONNEL PROTECTION EQUIPMENT: Check if needed.
1) Safety glasses • __, side shields
face shields , goggles ' , hard hat
safety shoes • . . , electrical hazard shoes _
life belt arid safety block ,
hearing protective devices , ladder climbing devices
2) Respiratory equipment:
Air purifying . air supplied .
self-contained ___>
Other
54
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Appendix F (Cont'd) Page 2 - Safety Checklist
3) Body protection:
Chemical protection garments
Heat protective garments
Chemical gloves
Heat resistant gloves
Other
D. ARE FIRE EXTINGUISHERS AVAILABLE AT SITE
E. SPECIAL OR UNUSUAL TEST PROCEDURES AND SAFETY PRECAUTIONS NECESSARY:
55
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APPENDIX G -•.-..••:
METRIC SYSTEM CONVERSION FACTORS
Non-metric
acfm
°F
in.
gr/acf
Multiplied by
28.317
5/9 (°F-32)
2.54
0.0023
•Yields Metric
liters/min
°C
cm
g/liter
56
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TECHNICAL REPORT DATA
(Please read Iiiitnictions on the reverse before completing)
1 REPORT NO.
EPA-600/2-76-023
2.
3. RECIPIENT'S ACCESSION NO.
4. TITLE AND SUBTITLE
Tentative Procedures for Particle Sizing in Process
Streams--Cascade Impactors
5. REPORT DATE
February 1976
6. PERFORMING ORGANIZATION CODE
7. AUTHOR(S)
8, PERFORMING ORGANIZATION REPORT NO.
D. Bruce Harris
9. PERFORMING ORGANIZATION NAME AND ADDRESS
EPA, Office of Research and Development
Industrial Environmental Research Laboratory
Research Triangle Park, North Carolina 27711
10. PROGRAM ELEMENT NO.
1AB012; ROAP 21ADM-012
11. CONTRACT/GRANT NO.
NA (In-house Report)
12. SPONSORING AGENCY NAME AND ADDRESS
Same as Block 9, above.
13. TYPE OF REPORT AND PERIOD COVERED
Final; 12/73-11/75
14. SPONSORING AGENCY CODE
EPA-ORD
15. SUPPLEMENTARY NOTES
16. ABSTRACT
report , in guideline form, is an outgrowth of discussions by members
of a working group of EPA/IERL-RTP personnel, contractors, and independent
experts who met to develop uniform procedures for the field use of inertial impactors
to determine particle size distributions from industrial particulate sources. It is
intended to promote individual tests of similar quality so that valid comparisons may
be made. It is emphasized that this document is for guidance only, and is not a set
of rules. Techniques for measuring particle size in stationary sources are too new,
and too few testing situations are the same. Professional judgment is still the most
important element in successfully determining fractional efficiency. The report
discusses the preliminary survey ,. the sampling apparatus, testing procedures, and
data analysis. The information applies to cascade impactors in general. Specific
commercial impactors are discussed.
KEY WORDS AND DOCUMENT ANALYSIS
DESCRIPTORS
Air Pollution
Particle Size Distribution
Measurement
Impactors Data Processing
Field Tests
Sampling
b.IDENTIFIERS/OPEN ENDED TERMS
Air Pollution Control
Stationary Sources
Process Streams
Inertial Impactors
Cascade Impactors
Fractional Efficiency
c. COSATl Field/Group
13B
14B
09B
8. DISTRIBUTION STATEMENT
Unlimited
19. SECURITY CLASS (This Report)
Unclassified
21. NO. OF PAGES
62
20. SECURITY CLASS (Thispage)
Unclassified
22. PRICE
EPA Form 2220-1 (9-73)
57
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