Using resin age factor to obtain measurements of improved accuracy of one or more polymer properties with an on-line NMR system
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United States of America Patent
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Jul 22, 1997
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N/A
app pub date -
May 7, 1996
filing date -
Nov 20, 1991
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Abstract
A real-time, on-line nuclear magnetic resonance (NMR) system, and related method, can predict various properties of interest of a sample of polymer material. A regression or neural network technique is used to develop a model based upon manipulated NMR output and a resin age factor which compensates for time dependent aging phenomena and enhance predictive accuracy of the model. In a preferred embodiment, the resin age factor is a function of elapsed cycle time prior to sample measurement, sample temperature at time of measurement, and/or sample form. The polymer can be a plastic such as polyethylene, polypropylene, or polystyrene, or a rubber such as ethylene propylene rubber.
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