of the series. The specimen for sieving (Note 1) shall consist of
a dried and weighed material prepared in accordance with
5.2.2. Transfer the specimen to the top sieve of the series, and
mechanically sieve until less than 0.1 g passes through each
sieve after hand sieving for 1 min, as described in Section 11.
The machine-sieving operation usually requires about 15 min.
Then carefully separate the sieves and determine the amount of
material retained on each by weighing to the nearest 0.1 g.
11. Hand Sieving
11.1 The specimen for sieving (Note 1) shall consist of a
dried and weighed material prepared in accordance with 5.2.2.
Use one sieve at a time beginning with the coarsest and then
successively to finer sizes. Alternately tap and rotate the sieve,
with pan and cover attached, while holding it in a slightly
inclined position so that the test sample will be well distributed
over the sieve. Continue the operation until less than 0.1 g of
the material passes through each sieve during 1 min of
continuous sieving. Determine the amount of material retained
on each sieve by weighing to the nearest 0.1 g.
12. Calculation and Report
12.1 Calculate the dry sieve analysis for the test specimen
on the dry weight, and report the results to the nearest 0.1 % of
the material retained on each sieve (Note 2). Include dust loss
with the material passing the finest sieve.
13. Precision and Bias
13.1 Interlaboratory Testing—An interlaboratory study was
conducted among seven laboratories in 1986. The same
samples of −2.5, +28 mesh tabular alumina and −14 mesh
silicon carbide were tested by each laboratory to eliminate
sampling variability. A third material, wet bauxite mortar, was
split into separate samples for each laboratory for wet sieve
analysis and moisture content tests.
13.1.1 The sponsoring laboratory used matched sieves and
ran the initial and final dry sieve analyses on the tabular
alumina and the silicon carbide samples in order to evaluate
sample loss or sample breakdown in the repeated runs. The
total specimen loss at this end of the study was 3.7 % of the
tabular alumina and 4.3 % of the silicon carbide. Each of the
other six laboratories, with one exception, ran two repetitions
on each specimen. Thus, a total of seven sets of data with two
replicates each and one set of data with one replicate were
analyzed.
13.1.2 The wet mortar results consisted of one set of data
from each of six laboratories. Each set of data included sieve
analyses and water content on two separate samples split from
the main sample received by each laboratory.
13.1.3 Analysis of the sieve analyses data was based on the
positive accumulated difference (PAD), which is the sum of the
absolute values of the difference between the percent held on
each sieve in one repetition and the grand average of the
percent on each sieve for all repetitions. The PAD divided by
the total number of sieves within the particle size range of the
particular material gave the average PAD per sieve. Hereafter,
the value will be referred to as the average difference.
13.1.4 As shown in Tables 2 and 3, the standard deviations
within and between laboratories for the average difference was
similar for the dry tabular alumina and silicon carbide. The
standard deviations of the average difference were slightly
greater for the dry-sieved portion (+150 mesh) and much
greater for the wet-sieved portion (−150 mesh) of the wet
mortar.
13.2 Precision:
13.2.1 Precision is based on the average difference only. For
dry sieve analyses in one laboratory, the average difference for
two materials is significantly different at a probability of 95 %
(t= 1.96) if it exceeds the repeatability (I
r
) listed for precision
in Table 2 or for relative precision (% I
r
)inTable 3. That is, the
average difference between two sieve analyses on the same
material obtained in the same laboratory will be expected to
exceed the I
r
value only about 5 % of the time. If the average
difference exceeds I
r
, there is reason to question the test results.
Likewise, the average difference for two materials obtained by
two laboratories is considered to be significantly different if it
exceeds the applicable reproducibility intervals (IR and % IR)
in Tables 2 and 3.
13.2.2 The precision of the sieve analysis of wet materials is
treated in two parts, the dry-sieved +150 mesh and the
wet-sieved −150 mesh. For dry sieve analyses in one
laboratory, the average difference for two materials is signifi-
cantly different at a probability of 95 % (t= 1.96) if it exceeds
the repeatability intervals listed for precision in Table 2 or for
relative precision in Table 3. Likewise for comparing the
average differences of two wet materials tested in two labora-
tories.
13.2.3 The precision and relative precision for the water
content of wet materials are shown in Table 2 and Table 3,
respectively, and are used in the same fashion as described in
13.2.2.
TABLE 2 Precision
Material
Average
Difference
from Grand
Average X
Standard Deviation
Within-Between
Repeatability-
Reproducibility
Intervals
Sr SL Ir IR
Tabular alumina
(−2.5×28m)
0.74 0.064 0.293 0.18 0.85
SiC (−14 m)
Grand average
0.70
0.72
0.059
0.062
0.306
0.300
0.17
0.175
0.88
0.865
Wet mortar 0.35 0.123 0.0221 0.35 0.35
(28 × 150 m)
(−150 m) 1.25 0.860 0.700 2.40 3.10
Average
Water content 12.4 0.11 1.15 0.31 3.25
TABLE 3 Relative Precision
Material
Coefficient of Variation
Within-Between
Repeatability-Repro-
ducibility Intervals
Vr VL % Ir %IR
Tabular alumina 8.7 39.8 24.7 115.1
SiC 8.4 43.7 23.7 125.8
Average 8.6 41.8 24.2 120.5
Wet mortar
(28 × 150) 34.7 5.9 98.2 99.6
(−150 m) 68.6 56.0 194.0 250.4
H
2
O content 0.88 9.2 2.5 26.2
C92 − 95 (2022)
´1
3