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  5. In-line fiber-optic spectroscopy : applications to polymer process monitoring
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In-line fiber-optic spectroscopy : applications to polymer process monitoring

Date Issued
May 1, 1997
Author(s)
Vedula, Srinivas
Advisor(s)
Marion G. Hansen
Additional Advisor(s)
Tsewei Wang
Roberto Benson
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/30779
Abstract

Near-infrared (NIR) spectroscopy has several advantages over conventional mid-infrared (MIR) techniques, such as remote data collection coupled with rapid data analysis methods, availability of fiber-optics, and lack of sample handling problems. These advantages have led to the widespread use of NIR spectroscopy for in-line chemical process measurements. Earlier research studies have addressed problems related to development of fiber-optics, feasibility of in-line monitoring of processes in harsh process environments, data analysis techniques, new process applications, and real-time process control strategies. In the area of polymer process engineering, NIR spectroscopy is being primarily used for measurements of polymer composition in copolymers, polymer blends during extrusion and injection molding; monitoring reaction kinetics; and estimation of physical properties, such as density, relative viscosity, et cetera,/em>. In this research, the applicability of NIR spectroscopy has been extended to make simultaneous measurements in an in-line extrusion process of rheological properties and composition of flowing polymer melts. A methodology is proposed and demonstrated for estimating polymer melt index and linear viscoelastic properties for a system of ethylene-vinyl acetate random copolymers. This methodology involved developing calibration models, which were subsequently utilized for real-time monitoring. Qualitative analysis is provided for assignation of spectral regions for the rheological properties and the comonomer ratio. The research also addressed the issue of in-line polymer additive monitoring using fiber-optic near-infrared and ultraviolet spectroscopy. Predictive calibration models and exploratory data analysis techniques were used as definitive studies for examining the feasibility of in-line trace-level additive monitoring.

Degree
Doctor of Philosophy
Major
Chemical Engineering
File(s)
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Thesis97b.V43.pdf

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9.09 MB

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Unknown

Checksum (MD5)

15ac1ed1d6414743f3bd651e57b201eb


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