Auburn International, Inc.

Ronald J Tache

Thomas B Smith

Ajoy K Roy

Scott A Marino

Ronald L Dechene

David R Day

Christian I Tanzer

Tadd B Hughes

Pulsed NMR system for industrial measurements comprising sample throughput system (P, LI, V1, V2) and user system controls (104) to establish digitized free induction decay (FID) curves (C), from which fast Gaussian, slower modified Gaussian or preferably slower Gaussian, and exponential components are determined using a Marquardt-Levenberg iteration technique, and using regression techniques to correlate the FID curve components to the physical quantities of the target nuclei.

NMR analysis of polypropylene in real time

A nuclear magnetic resonance (NMR) system, and related method, develops two or more regression equations or models for a particular polymer property of interest (e.g., melt index or MI) during a calibration procedure using known samples of a material. The polymer material can be, for example, a plastic (e.g., polyethylene, polypropylene, or polystyrene) or a rubber (e.g., ethylene propylene rubber). Regression models for one or more discrete (i.e., two-valued) variables also are developed during calibration, and these models allow a prediction to be made about which of the two or more property (e.g., MI) models should be used for any particular sample of unknown material. The prediction obtained from the discrete variable model indicates which of the two or more models will produce the most accurate estimation of the property of interest for the unknown sample. The best model is thus selected, and then it is used to estimate the property of interest.

Obtaining measurements of improved accuracy of one or more polymer

A pulsed nmr analysis system for polymers materials extracted from industrial processes at a mobility enhancing temperature (at or above glass transition temperature for amorphous polymers, at the crystalline transition temperature for crystalline and semi-crystalline polymers). The sample is measured via nmr techniques and results correlated to viscosity and melt index or melt flow (which are related to average molecular weights). The nmr system (in or out of resonance) includes: sample throughput system (P, LI, V1, V2) and user system controls (104) to establish digitized free induction decay curves (C), from which components functions are determined using linear or non-linear regression techniques to correlate the curve components to the target nuclei and to flow rates in plastics. Substantial improvement of correlation of nmr derived constants and equations of a free induction decay curve with the foregoing polymer properties is obtained via (1) conducting the nmr process at a mobility enhancing temperature (normally elevated compared to the industrial process temperature of the industrial process) and (2) holding temperature substantially constant at such elevated temperature.

NMR system for measuring polymer properties

A pulsed NMR analysis system and process comprising an air curtain (137), sample throughput system (P, LI, V1, V2) and user system controls (104) to establish digitized free induction decay curves (C) , from which components functions are determined using linear or nonlinear regression techniques to correlate the curve components to the target nuclei and to flow rates in plastic including MI and FRR for polyethylene and MF for polypropylene.

Apparatus to obtain flow rates (melt index) in plastics via fixed

A pulsed NMR analysis system and process comprising sample throughput system (P, LI, V1, V2) and user system controls (104) to establish digitized free induction decay curves (C), from which components functions are determined using non-linear regression techniques to correlate the curve components to the target nuclei.

Real time magnetic resonance analysis with non-linear regression means

Pulsed NMR system for industrial measurements comprising sample throughput system (P, LI, V1, V2) and user system controls (104) to establish digitized free induction decay (FID) curves (C), from which fast Gaussian, slower modified Gaussian and exponential components are determined using a Marquardt-Levenberg iteration technique, and using regression techniques to correlate the FID curve components to the physical quantities of the target nuclei.

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Malden, MA, United States of America

Ronald J Tache