Using resin age factor to obtain measurements of improved accura

Details Using resin age factor to obtain measurements of improved accura Using resin age factor to obtain measurements of improved accura

1996-05-07

1997-07-22

O'Shea, Sandra L.

Electricity: measuring and testing

Particle precession resonance

Using a nuclear resonance spectrometer system

324300, G01V 300

Patent

active

056507224

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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