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data analysis, features of the Ion Viscosity curing curve can be identified
manually or automatically through software. This provides a convenient
means for automatic QA/QC testing of multiple products and batches of
molding compound and for automated process control in production molding
operations. Figure 2 shows specific features (Critical Points) which
can be used to provide numerical values that describe the curing characteristics
of the sample.

Figure
2: Critical Points identified on the Log Ion Viscosity curing
curve of a polyester BMC sample.
Among
the Critical Points that can be identified on the Ion Viscosity and
1st derivative of Ion Viscosity curves are the Flow Point, Viscosity
Minimum, Maximum Slope, and Cure Endpoint.
The Flow
Point is defined as the Time at which the Log Ion Viscosity
crosses a user defined threshold (Critical Viscosity). The Flow
Point is often used to detect when material has made contact with
the sensor.
The Viscosity
Minimum is defined as the Time and Value of the minimum (lowest)
Ion Viscosity value. The Viscosity Minimum is used to detect when
the material has reached its maximum in flow. In the molding industry,
this point is often referred to as the "gel time" since immediately
after this point the viscosity increases and gelation occurs.
The Maximum
Slope is defined at the Time and Value of the maximum (peak)
in the slope of the Ion Viscosity. The Maximum Slope identifies
the time and relative rate of the maximum rate of reaction. A higher
maximum slope value indicates a higher rate of reaction and a later
time indicates a more delayed reaction.
The Cure
Endpoint is defined as the time when the slope of Ion Viscosity
passes through a user-defined value (Critical Slope) associated
with the material reaching the desired cure state. In QA/QC testing,
the Cure Endpoint is used as a relative cure time indicator. For
production control, the Cure Endpoint can be used to automatically
trigger de-mold. Prior work has demonstrated a 17% reduction in
average cure time in a production SMC molding operation by triggering
de-mold at the Cure Endpoint.
Figure
3 demonstrates how the log IonViscosity (solid lines) and its 1st
derivative (dashed lines) can identify differences in the curing
behavior of polyester molding compound. In this example, three samples
of a polyester BMC were stored for six weeks at temperatures of 1.5çC
(35 çF), 21çC (70çF), and 32çC (90çF). As can be seen on the graph,
all three samples show similar behavior through the viscosity minimum
region. After the minimum there are clear differences in reaction
rates with the samples stored at higher temperatures showing slower
cure rates.

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Figure
3: Log Ion Viscosity and 1st derivative during the cure
of three samples of polyester BMC stored for 3 weeks at
3 different temperatures.
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