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Processes 2016, 4(1), 5; doi:10.3390/pr4010005

Combining On-Line Characterization Tools with Modern Software Environments for Optimal Operation of Polymerization Processes

1
Department of Chemical Engineering, Louisiana State University, Baton Rouge, LA 70803, USA
2
Department of Physics and Engineering Physics, Tulane University, New Orleans, LA 70118, USA
3
Advanced Polymer Monitoring Technologies, Inc., New Orleans, LA 70125, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Masoud Soroush
Received: 6 December 2015 / Accepted: 5 February 2016 / Published: 15 February 2016
(This article belongs to the Special Issue Polymer Modeling, Control and Monitoring)
View Full-Text   |   Download PDF [4678 KB, uploaded 15 February 2016]   |  

Abstract

This paper discusses the initial steps towards the formulation and implementation of a generic and flexible model centric framework for integrated simulation, estimation, optimization and feedback control of polymerization processes. For the first time it combines the powerful capabilities of the automatic continuous on-line monitoring of polymerization system (ACOMP), with a modern simulation, estimation and optimization software environment towards an integrated scheme for the optimal operation of polymeric processes. An initial validation of the framework was performed for modelling and optimization using literature data, illustrating the flexibility of the method to apply under different systems and conditions. Subsequently, off-line capabilities of the system were fully tested experimentally for model validations, parameter estimation and process optimization using ACOMP data. Experimental results are provided for free radical solution polymerization of methyl methacrylate. View Full-Text
Keywords: free radical polymerization; molar mass distribution; dynamic optimization; parameter estimation; online monitoring free radical polymerization; molar mass distribution; dynamic optimization; parameter estimation; online monitoring
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Ghadipasha, N.; Geraili, A.; Romagnoli, J.A.; Castor, C.A., Jr.; Drenski, M.F.; Reed, W.F. Combining On-Line Characterization Tools with Modern Software Environments for Optimal Operation of Polymerization Processes. Processes 2016, 4, 5.

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