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Table of Contents
Features Useful for Interpreting Results
Two characteristics identified as being important in the early development of this
technology were mass change with time during both the soaking and drying portions
of the test. These characteristics were expected to provide information about
the diffusion of components into and out of the non-metallic material (A. O. Fisher
and C. N. Carpenter, Elastomeric Linings, in Process Industries Corrosion, B. J.
(Moniz and W. I. Pollock, ed.), p. 589, NACE, Houston, TX). During the early
development of the test, the belief was maintained that curve-fitting of this type
of information to the diffusion equation shown above would provide information on
diffusion coefficients. This simple concept, though, is only correct if one component
is diffusing. In complex environments and with complex nonmetallic materials the mass
change with time is a complex function of the rates of components from the environment
migrating into the nonmetallic and components originally in the nonmetallic material
migrating into the environment. Later development suggested that more information
would be required for a proper first-pass screening.
SEQEXPERT uses the parameters shown in the table below to make its prediction from
the Sequential Immersion Test. While these parameters may not be the only ones
that can be used, they are the features that provided consistency between
observation and prediction during training of the artificial neural network.
SEQEXPERT requires that these features be used together. This requirement must
be kept in mind when reading the additional background information on the meanings
of the individual variables.
| Feature |
Value or Quality of Feature |
Mass (or weight) fraction change during soak portion of test. Equal to
final weight after soak minus initial weight divided by initial weight |
Value between -1 and 1. Negative value signifies mass lost during exposure
to test environment |
Mass (or weight) fraction change during drying portion of test. Equal to
final weight at end minus initial weight before test divided by initial weight |
Value between -1 and 1. Negative value signifies mass lost during exposure
in drying oven |
Final curvature of profile during soak portion of test (qualitative) judgment
required |
Continuing to increase or far from equilibrium Leveling off to a constant value
or near equilibrium
|
Final curvature of profile during drying portion of test (qualitative) judgment
required |
Continuing to decrease or far from equilibrium Leveling off to a constant value
or near equilibrium
|
Sign of final mass after soaking minus initial mass before test started |
Positive or negative |
Sign of final mass after drying minus initial mass before test started |
Positive or negative |
| Overall change in hardness |
Difference between initial and final values |
The following two figures
show mass change profiles that might be observed in practice. They represent how
these profiles might appear for the different types of migration characteristics.
The first figure shows how the mass change profiles might appear if the test duration
resulted in the internal and external concentrations to be near equilibrium
(considered as no net mass change occurring). Note that if migration into the specimen
equals migration out of the specimen, the net change in mass would be zero. While such
a development would appear as if it were an equilibrium condition, it is actually a steady
state condition. The second figure shows how the mass change profiles might
appear if the test duration resulting in the internal and external concentrations
is fairly far from equilibrium. Note that the final curvature of one phase could
be "far from equilibrium" while the other is near equilibrium. These figures should
be consulted when reading the discussion that follows.
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1. Mass fraction change during soak and dry cycles
The mass (weight) fraction change during soaking is the final mass (weight) before the
drying stage minus the initial mass (weight) divided by the initial mass (weight).
This value is a measure of two quantities, the uptake by the nonmetallic sample
of components in the environment and the loss of material leached from the
non-metallic sample to the environment. This number could be negative if
more mass leaves the material than enters it. The mass (weight) fraction change
after drying is the final mass (weight) after drying minus the initial mass
(weight) before soaking divided by the initial mass (weight). Assuming that
the components that migrate into the nonmetallic material will be removed with
the drying phase, this mass fraction is a measure of the total amount of material
that was leached from the nonmetallic sample during the soaking cycle. This
quantity can be negative if material was leached during the soak cycle.
Such an observation should always be considered as a warning flag of questionable behavior.
In theory, if the tested sample forces one-dimensional diffusion (in Cartesian coordinates)
the diffusion coefficient and expected mass change at infinite time could be estimated
for the soak portion of the test using the figures above. But, such a solution is only
valid if one component is diffusing into the sample. As discussed in the section
Sorption and Diffusion Influence on Sample Size and Test Duration
from a practical standpoint, the test should be designed so that the final mass change
provides a good estimate with a desired error of the mass change expected when migration
is no longer occurring or when migration into the specimen equals migration out of the
specimen. No good method exists to predict an estimate for test duration for the drying
portion.
Unfortunately, no good-rule-of-thumb exists to provide guidance as to what maximum overall
change in mass during soaking would be acceptable for all situations. Some people have
used a maximum of 10% gain during soaking for a lining and 15% (or even 20%) for a gasket
as rules-of-thumb but those numbers should not be treated as fact. The final use dictates
acceptability. If the final application is a lining, such properties as tensile strength
and adhesion to the metallic or plastic superstructure need to be considered. If the
final application is a gasket, such properties as creep relaxation, compressibility,
and sealing ability need to be considered.
The final mass change after drying is a function of the amount of the material that
originally migrated into the nonmetallic material during the soak cycle that migrated
out and by the amount of material (e.g. plasticizer, filler, etc.) originally in the
nonmetallic material that migrated out during the soak cycle. The optimum result
would be a final mass change of zero. Such a case would be consistent with no loss
of material during soaking and elimination of all external material during drying.
But, a cautionary note is in order. Though rare, such an outcome is also consistent
with another scenario, any residual material that migrated into the specimen virtually
offsetting any loss of original material during soaking. A positive mass change very
likely has two causes, either material that migrated into the specimen during the soak
portion became somehow bound or that material has such low volatility that it cannot
migrate out during the drying portion. Either way, it is retained material that might
affect performance. A negative mass change usually means that material originally
present in the non-metallic material has migrated out during the soak portion of the
test. Large negative changes can be accompanied by mechanical changes as reflected
in a large change in hardness. The ambiguities mentioned above are reasons that mass
change cannot be considered as the sole variable for chemical compatibility.
Top
2. Final curvature of mass change profiles
The final curvature of the mass fraction curves during the soaking and drying portions
of the test are qualitative indicators of proximity of the final measured change in
mass to that change in mass expected if equilibrium or some type of steady state had
been achieved. These variables are included to account for the fact that the elapsed
experimental time may not be long enough for the first two variables to accurately
reflect the final change in mass at steady state or equilibrium. For example, if
the curve corresponding to the soak cycle is continuing to increase at a reasonable
rate when that portion of the test is terminated, the mass fraction used for the
first variable could be a serious underestimate of the true value. If the curve
is leveling out, then the value used could be a reasonable estimate. The
interpretation of the curvature has to be somewhat qualitative. The proper
method would be to examine at least the first and second derivatives of the mass change
versus time curve (velocity and acceleration). But, a rigorous mathematical treatment
of these curves is impossible because (1) the mass change is semi-quantitative at best,
(2) a limited number of data points are usually obtained because of the labor-intensive
nature of the intermediate weighing, and (3) for each derivative there is a loss of
one place of accuracy, one significant digit. The decision of whether or not the curve
is leveling becomes easier the more curves that are examined. The figures above
demonstrate two extremes.
Top
3. Sign of mass change for soak and dry cycles
These variables were discovered to be important to SEQEXPERT being able to "learn" the
"patterns" to make predictions from the Sequential Immersion Test. Though the mass
fractions are written with sign, the assumption is that the sign itself is important
as an independent indicator of performance. For example, a negative sign on the mass
change after drying could suggest a loss of initial material such as plasticizer.
This result tends not to be a favorable indicator of long-term performance.
The result might suggest a loss of flexibility of the non-metallic material resulting
in cracking or loss of adhesion. A positive value at the end of the drying cycle
may mean that some absorption was irreversible again suggesting that mechanical
properties might be affected.
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4. Change in Hardness
The six variables outlined up to this point reflect the chemical interaction between
the
environment and the non-metallic material. Mechanical changes are also important.
One can have very small chemical effects and a very large mechanical effect and
vice versa. As this test is to provide a first pass screening mostly for rubbers
and possibly thermoplastics, the concept is to use a simple mechanical test that
can provide some insight into general mechanical degradation. For this reason,
the change in hardness was included in the test protocol. Rubbers tend to be
tested on the Durometer hardness scale (ASTM D2240) and rigid plastics on the
Barcol hardness scale (ASTM D2538). A large increase in hardness may be caused
by a loss of plasticizer or irreversible reaction of environmental components with
the polymer creating stiffening. Such an increase may be accompanied by a negative
overall change in mass. A large decrease in hardness may be caused by a partial
dissolution of the polymer chains into environment components that have migrated into
the material. Such a decrease may be accompanied by a large increase in absorption
during the soak portion with positive change in overall mass.
The procedure is to obtain the hardness of the non-metallic material using the
appropriate scale for the material being tested prior initial immersion in the fluid.
Usually, about ten readings are taken. The hardness is again measured at the
conclusion of the drying portion of the test. Again, about ten readings are taken.
One rule-of-thumb is that a change of about six units is significant enough to
raise a warning flag. But, since this measure of mechanical properties is very
approximate, any change must be interpreted in conjunction with the change in mass.
No one variable stands alone.
Top
5. Examples in the Literature
Several examples of how these parameters are derived and the ability of SEQEXPERT
to use them are in D.C. Silverman, "Artificial Neural Network Predictions of
Degradation of Nonmetallic Lining Materials from Laboratory Tests", Corrosion,
Vol. 50, p. 411, 19941 (514k).
and D. C. Silverman, "Corrosion Prediction from Laboratory
Tests Using Artificial Neural Networks", Paper #048, presented at the 12th
International Corrosion Congress, Houston, TX, September, 1993.
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