Using resin age factor to obtain measurements of improved accuracy of one or more polymer properties with an on-line NMR system
US5650722A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | May 7, 1996 |
| Grant date | Jul 22, 1997 |
| Priority date | — |
| Expiry date | May 7, 2016 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01N24/082
- WIPO fieldMeasurement
- WIPO sectorInstruments
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.