In a previous paper, Santos et al. (J Appl Polym Sci 1998, 20, 1737) showed that NIRS may be used efficiently for in-line evaluation of average particle sizes in styrene suspension polymerizations if proper calibration is carried out with the help of both multivariate techniques and nonlinear models
Monitoring and control of styrene solution polymerization using NIR spectroscopy
β Scribed by J. M. R. Fontoura; A. F. Santos; F. M. Silva; M. K. Lenzi; E. L. Lima; J. C. Pinto
- Publisher
- John Wiley and Sons
- Year
- 2003
- Tongue
- English
- Weight
- 292 KB
- Volume
- 90
- Category
- Article
- ISSN
- 0021-8995
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β¦ Synopsis
Abstract
Tailored polymer resins are frequently required for a given application. The lack of instruments for inβline monitoring of polymer quality has long been recognized as an important problem in polymerization reactor control. Using the styrene solution polymerization system as an example, we present the use of nearβinfrared (NIR) spectroscopy as an alternative tool for inβline and in situ monitoring and control of monomer conversion and average molecular weight of polymer resins. By using a Kalman filter state estimator and an accurate firstβprinciple model, the control loop could be successfully closed to track desired monomer values and average molecular weights. Two process control strategies, one based on the optimal control theory and the other on model predictive control, were implemented both theoretically and experimentally. The experimental results showed that it is feasible to use NIR spectroscopy for the simultaneous control of monomer conversion and polymer average molecular weight. Β© 2003 Wiley Periodicals, Inc. J Appl Polym Sci 90: 1273β1289, 2003
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